The Experts below are selected from a list of 2556 Experts worldwide ranked by ideXlab platform
Ke Dong - One of the best experts on this subject based on the ideXlab platform.
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Online Switching Control of LFT Parameter-Dependent Systems
Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2009Co-Authors: Ke Dong, Fen WuAbstract:To improve controlled performance and expand gain-scheduling control capability, we propose a switching control approach of Linear Fractional Transformation parameter-dependent systems using multiple Lyapunov functions combined with online control techniques. At each switching instant, a gain-scheduled controller working for the next switching interval will be designed online. The switching control synthesis condition is formulated as Linear matrix inequalities and can be solved efficiently, upon which the controller will be constructed. The online switching control scheme is demonstrated using an uninhabited combat aerospace vehicle problem.
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almost output regulation for parameter dependent Linear Fractional Transformation systems
Iet Control Theory and Applications, 2008Co-Authors: Ke DongAbstract:An important problem of output regulation for Linear Fractional Transformation (LFT) systems is considered. This problem is mainly concerned about tracking and/or rejection of persistent signals produced by some external generator. Necessary and sufficient solvability condition for LFT systems as two Linear matrix equations, which is an extension of the existing output regulation results for the Linear time invariant and nonLinear systems will be presented. On the basis of the analysis condition, the LFT almost output regulation problem of approximately tracking/rejecting persistent signals will be studied by minimising the ℒ2 gain from perturbation of the signal to error output. Its synthesis condition will be formulated as two matrix equations plus a set of Linear matrix inequalities. An example will be used to demonstrate the proposed approach.
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Online Switching Control Designs of LFT Systems
Proceedings of the 45th IEEE Conference on Decision and Control, 2006Co-Authors: Ke Dong, Fen WuAbstract:In this paper, we propose a switching control approach for Linear Fractional Transformation (LFT) parameter dependent systems using multiple Lyapunov functions with online optimization techniques to improve performance and enhance control design flexibility. A gain-scheduled controller working for the next switching interval is designed at each switching time. A bumpless transfer compensator is also designed to minimize the jump of output caused by switching. The control synthesis conditions for both online switching controller and bumpless transfer compensator are formulated as Linear Matrix Inequalities (LMI). Finally, the online switching control scheme is applied to an uninhabited combat aerospace vehicle (UCAV) problem.
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gain scheduling control of lft systems using parameter dependent lyapunov functions
Automatica, 2006Co-Authors: Fen Wu, Ke DongAbstract:In this paper, we propose a new control design approach for Linear Fractional Transformation (LFT) systems using parameter-dependent Lyapunov functions. Instead of assuming parameter dependency in LFT fashion, we consider general parameter-dependent controllers to achieve better closed-loop performance. Using full-block multipliers, new LPV synthesis conditions have been derived in terms of finite number of Linear matrix inequalities (LMIs). Both continuous- and discrete-time cases are discussed. A ship steering example has been used to demonstrate advantages and benefits of the proposed approach.
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gain scheduling control of lft systems using parameter dependent lyapunov functions
American Control Conference, 2005Co-Authors: Fen Wu, Ke DongAbstract:In this paper, we propose a new control design approach for Linear Fractional Transformation (LFT) systems using parameter-dependent Lyapunov functions. Instead of designing a controller with LFT parameter dependency, we consider general parameter-dependent controllers to achieve better closed-loop performance. Using full-block multipliers, new LPV synthesis conditions have been derived in terms of finite number of LMIs. A ship steering example has been used to demonstrate advantages and benefits of the proposed approach.
Yaman Arkun - One of the best experts on this subject based on the ideXlab platform.
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A methodology for sequential design of robust decentralized control systems
Automatica, 1992Co-Authors: Min-sen Chiu, Yaman ArkunAbstract:Abstract A general analysis theory is presented which can incorporate robust stability or robust performance defined in H ∞ or μ framework for sequential design purposes. As a result, a methodology for sequential design of robust decentralized controllers is proposed. To do so, new formulations of Linear Fractional Transformation of complementary sensitivity function and sensitivity function are given. They are used to derive robustness constraints on individual decentralized controllers. When these robustness constraints are satisfied, the closed-loop system is a guaranteed to possess pre-specified robustness properties if and only if the whole system is nominally stable as well.
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A Methodology for Sequential Design of Robust Decentralized Control Systems
1991 American Control Conference, 1991Co-Authors: Min-sen Chiu, Yaman ArkunAbstract:A general analysis theory is presented which can incorporate robust performance defined in ? framework for sequential design purposes. As a result, a systematic methodology for sequential design of robust decentralized controllers is proposed. To do so, new formulations of Linear Fractional Transformation of complementary sensitivity function and sensitivity function are given. They are used to derive robustness constraints on individual decentralized controllers. When these robustness constraints are satisfied, the closed-loop system is guranteed to possess robust performance if and only if the whole system is nominally stable as well.
Ian Postlethwaite - One of the best experts on this subject based on the ideXlab platform.
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brief paper a symbolic matrix decomposition algorithm for reduced order Linear Fractional Transformation modelling
Automatica, 2007Co-Authors: Andres Marcos, Declan G Bates, Ian PostlethwaiteAbstract:In this paper an algorithm that provides an equivalent, but of reduced order, representation for multivariate polynomial matrices is given. It combines ideas from computational symbolic algebra, polynomial/matrix algebraic manipulations and information logic. The algorithm is applied to the problem of finding minimal Linear Fractional Transformation models. Statistical performance analysis of the algorithm reveals that it consistently outperforms currently available algorithms.
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robustness analysis of Linear periodic time varying systems subject to structured uncertainty
Systems & Control Letters, 2006Co-Authors: Jongrae Kim, Declan G Bates, Ian PostlethwaiteAbstract:In this paper, we show how Floquet theory may be combined with a technique known as Lifting to cast a Linear periodically time-varying system subject to structured Linear time invariant uncertainty in the form of a Linear Fractional Transformation. The stability and performance robustness of the resulting system may then be analysed using standard μ-analysis methods. A significant advantage of the proposed approach is that it allows the computation of a worst-case destabilising uncertainty combination which may be used to estimate the conservatism of the computed robustness margin. An example is given to illustrate the application of the proposed approach.
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a multivariate polynomial matrix order reduction algorithm for Linear Fractional Transformation modelling
IFAC Proceedings Volumes, 2005Co-Authors: Andres Marcos, Declan G Bates, Ian PostlethwaiteAbstract:Abstract In this paper an algorithm that provides an equivalent, but of reduced order, representation for multivariate polynomial matrices is given. It combines ideas from computational symbolic algebra and from established techniques in graph representation and polynomial/matrix algebraic manipulations. The algorithm is applied to the problem of finding minimal Linear Fractional Transformation models.
Xiaojun Ban - One of the best experts on this subject based on the ideXlab platform.
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output feedback control of Linear Fractional Transformation systems subject to actuator saturation
International Journal of Systems Science, 2016Co-Authors: Xiaojun BanAbstract:In this paper, the control problem for a class of Linear parameter varying LPV plant subject to actuator saturation is investigated. For the saturated LPV plant depending on the scheduling parameters in Linear Fractional Transformation LFT fashion, a gain-scheduled output feedback controller in the LFT form is designed to guarantee the stability of the closed-loop LPV system and provide optimised disturbance/error attenuation performance. By using the congruent Transformation, the synthesis condition is formulated as a convex optimisation problem in terms of a finite number of LMIs for which efficient optimisation techniques are available. The nonLinear inverted pendulum problem is employed to demonstrate the effectiveness of the proposed approach. Moreover, the comparison between our LPV saturated approach with an existing Linear saturated method reveals the advantage of the LPV controller when handling nonLinear plants.
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dynamie output feedback controller design for t s fuzzy plants with actuator saturation using Linear Fractional Transformation
IEEE International Conference on Fuzzy Systems, 2014Co-Authors: Yang Liu, Xiaojun Ban, Hakkeung LamAbstract:In this paper, a systematic synthesis method for Takagi-Sugeno fuzzy dynamic output feedback controller is proposed for T-S fuzzy plants with actuator saturation. By using the deadzone function, both the T-S fuzzy plant with actuator saturation and the T-S fuzzy dynamic output feedback controller are transformed into the form of Linear Fractional Transformation (LFT). Within the framework of LFT, the issue of stability as well as H performance is cast as a convex optimization problem which can be approached by solving a set of Linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed method.
Min-sen Chiu - One of the best experts on this subject based on the ideXlab platform.
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A methodology for sequential design of robust decentralized control systems
Automatica, 1992Co-Authors: Min-sen Chiu, Yaman ArkunAbstract:Abstract A general analysis theory is presented which can incorporate robust stability or robust performance defined in H ∞ or μ framework for sequential design purposes. As a result, a methodology for sequential design of robust decentralized controllers is proposed. To do so, new formulations of Linear Fractional Transformation of complementary sensitivity function and sensitivity function are given. They are used to derive robustness constraints on individual decentralized controllers. When these robustness constraints are satisfied, the closed-loop system is a guaranteed to possess pre-specified robustness properties if and only if the whole system is nominally stable as well.
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A Methodology for Sequential Design of Robust Decentralized Control Systems
1991 American Control Conference, 1991Co-Authors: Min-sen Chiu, Yaman ArkunAbstract:A general analysis theory is presented which can incorporate robust performance defined in ? framework for sequential design purposes. As a result, a systematic methodology for sequential design of robust decentralized controllers is proposed. To do so, new formulations of Linear Fractional Transformation of complementary sensitivity function and sensitivity function are given. They are used to derive robustness constraints on individual decentralized controllers. When these robustness constraints are satisfied, the closed-loop system is guranteed to possess robust performance if and only if the whole system is nominally stable as well.