The Experts below are selected from a list of 147 Experts worldwide ranked by ideXlab platform
Armando A. Rodriguez - One of the best experts on this subject based on the ideXlab platform.
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CDC - Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ(∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
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A generalized ℋ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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ACC - A generalized ℋ ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ ∞ , ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
Karan Puttannaiah - One of the best experts on this subject based on the ideXlab platform.
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CDC - Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ(∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
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A generalized ℋ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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ACC - A generalized ℋ ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ ∞ , ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
Cihun-siyong Alex Gong - One of the best experts on this subject based on the ideXlab platform.
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A Wide-Range Charge Controller for Solar Sensor
Journal of Circuits Systems and Computers, 2015Co-Authors: Cihun-siyong Alex Gong, Long-xi ChangAbstract:The solar energy conversion driven by the solar sensor (or the so-called solar cell) has become an important and feasible way to solve global energy crisis while at the same time minimizing environmental pollution. The solar charge controller is the key of its active system for the signal processing circuits involved. In this paper, a fully integrated solar charge controller is presented. The charger has wide Input voltage range about 10–28 V for the solar-powered panel. The Input Loop regulation is used here as the maximum power point tracking protection. This charger also provides different kinds of battery voltages about 4–12 V. The controller system uses just one error amplifier (EA) and no external compensation components is needed. Besides, this controller has 600-kHz pulse-width modulation (PWM) and offers the over-current/over-voltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5 V/40 V 2P4M process. The power consumption of this full-integrated solar charge controller IC is about 10 mA.
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A fully integrated solar charger controller with Input MPPT regulation protection for 10V to 28V solar-powered panel
2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013Co-Authors: Long-xi Chang, Chueh-hao Yu, Yi-feng Luo, Cihun-siyong Alex GongAbstract:A fully integrated solar charger controller is presented in this paper. The charger has wide Input voltage range about 10V to 28V for the solar-powered panel. The Input Loop regulation is used here as the MPPT protection. This charger also provides different kinds of battery voltages about 4V to 12V. The controller system uses just one error amplifier and no external compensation components is needed. Besides, this controller has 600 kHz PWM modulation and offers the over-current/overvoltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5V/40V 2P4M process. The power consumption of this full-integrated solar charger controller IC is about 10mA.
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ISCE - A fully integrated solar charger controller with Input MPPT regulation protection for 10V to 28V solar-powered panel
2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013Co-Authors: Long-xi Chang, Chueh-hao Yu, Cihun-siyong Alex GongAbstract:A fully integrated solar charger controller is presented in this paper. The charger has wide Input voltage range about 10V to 28V for the solar-powered panel. The Input Loop regulation is used here as the MPPT protection. This charger also provides different kinds of battery voltages about 4V to 12V. The controller system uses just one error amplifier and no external compensation components is needed. Besides, this controller has 600 kHz PWM modulation and offers the over-current/overvoltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5V/40V 2P4M process. The power consumption of this full-integrated solar charger controller IC is about 10mA.
Justin A. Echols - One of the best experts on this subject based on the ideXlab platform.
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CDC - Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ(∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
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A generalized ℋ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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ACC - A generalized ℋ ∞ control design framework for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 American Control Conference (ACC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Armando A. RodriguezAbstract:In this paper, we present a generalized mixed-sensitivity multivariable framework for linear time invariant (LTI) plants that can handle a broad class of closed Loop (e.g. ℋ ∞ , ℋ2, frequency- and time domain) objectives while being able to directly and systematically address the problem of trading off properties at distinct Loop breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient convex solvers that can be applied to smooth as well as non-differentiable problems. Our approach is shown to be particularly useful for ill-conditioned plant having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. We specifically show that by suitably approximating the infinite-dimensional plant with a finite-dimensional approximant, a near-optimal finite-dimensional controller can be designed for the infinite-dimensional plant. Illustrative examples are provided.
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Analysis and use of several generalized ℋ(∞ mixed sensitivity frameworks for stable multivariable plants subject to simultaneous output and Input Loop breaking specifications
2015 54th IEEE Conference on Decision and Control (CDC), 2015Co-Authors: Karan Puttannaiah, Justin A. Echols, Kaustav Mondal, Armando A. RodriguezAbstract:In this paper, we present and examine three generalized mixed-sensitivity control design frameworks for linear time invariant (LTI) plants for trading off properties at distinct multivariable Loop-breaking points, while being able to handle a broad class of closed Loop (e.g. ℋ∞, ℋ2, frequency- and time domain) specifications. Multiobjective tradeoff paradigms are developed and analysed for ill-conditioned plants having large relative gain array entries - plants that have received considerable attention in the literature without yielding a direct systematic design methodology. We provide insight into the effectiveness of each approach and discuss the trading-off of properties at distinct Loop-breaking points. This is done by exploiting the Youla-Jabr-Bongiorno-Kucera-Zames (YJBKZ) parameterization, the resulting convexification, and efficient state-of-the-art convex solvers that can be applied to smooth as well as non-differentiable problems. Moreover, we also show how our approach can be applied to multivariable infinite-dimensional plants. Specifically, by using finite dimensional approximants that converge in the uniform topology, we obtain near-optimal finite dimensional controllers for the infinite dimensional plant. Illustrative examples are provided for a thermal PDE and a retarded time delay system.
Long-xi Chang - One of the best experts on this subject based on the ideXlab platform.
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A Wide-Range Charge Controller for Solar Sensor
Journal of Circuits Systems and Computers, 2015Co-Authors: Cihun-siyong Alex Gong, Long-xi ChangAbstract:The solar energy conversion driven by the solar sensor (or the so-called solar cell) has become an important and feasible way to solve global energy crisis while at the same time minimizing environmental pollution. The solar charge controller is the key of its active system for the signal processing circuits involved. In this paper, a fully integrated solar charge controller is presented. The charger has wide Input voltage range about 10–28 V for the solar-powered panel. The Input Loop regulation is used here as the maximum power point tracking protection. This charger also provides different kinds of battery voltages about 4–12 V. The controller system uses just one error amplifier (EA) and no external compensation components is needed. Besides, this controller has 600-kHz pulse-width modulation (PWM) and offers the over-current/over-voltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5 V/40 V 2P4M process. The power consumption of this full-integrated solar charge controller IC is about 10 mA.
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A fully integrated solar charger controller with Input MPPT regulation protection for 10V to 28V solar-powered panel
2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013Co-Authors: Long-xi Chang, Chueh-hao Yu, Yi-feng Luo, Cihun-siyong Alex GongAbstract:A fully integrated solar charger controller is presented in this paper. The charger has wide Input voltage range about 10V to 28V for the solar-powered panel. The Input Loop regulation is used here as the MPPT protection. This charger also provides different kinds of battery voltages about 4V to 12V. The controller system uses just one error amplifier and no external compensation components is needed. Besides, this controller has 600 kHz PWM modulation and offers the over-current/overvoltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5V/40V 2P4M process. The power consumption of this full-integrated solar charger controller IC is about 10mA.
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ISCE - A fully integrated solar charger controller with Input MPPT regulation protection for 10V to 28V solar-powered panel
2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013Co-Authors: Long-xi Chang, Chueh-hao Yu, Cihun-siyong Alex GongAbstract:A fully integrated solar charger controller is presented in this paper. The charger has wide Input voltage range about 10V to 28V for the solar-powered panel. The Input Loop regulation is used here as the MPPT protection. This charger also provides different kinds of battery voltages about 4V to 12V. The controller system uses just one error amplifier and no external compensation components is needed. Besides, this controller has 600 kHz PWM modulation and offers the over-current/overvoltage protection. Other components like bandgap, reference generator, saw-tooth generator, register controller and driver circuits are all implemented in this circuit. This chip is fabricated in a 0.4-μm 5V/40V 2P4M process. The power consumption of this full-integrated solar charger controller IC is about 10mA.