The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
J. Davila - One of the best experts on this subject based on the ideXlab platform.
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ADHS - Finite-time observation of the continuous and Discrete State for a class of nonlinear switched dynamics
IFAC Proceedings Volumes, 2020Co-Authors: J. Davila, Alessandro Pisano, Elio UsaiAbstract:Abstract A class of nonlinear switched systems is studied, and a nite-time converging observer is proposed. The observer strategy is able to reconstruct, both, the continuous and Discrete State of the switched system based on output measurements only. All modes of the switched system are required to satisfy certain observability-like and boundedness restrictions. The suggested observer is based on the high-order sliding mode approach. It provides a nite time converging estimate and, after the mode switchings, it features an arbitrarily fast transient to recover the correct (continuous and Discrete) State estimate. A numerical example illustrates the performance of the proposed observer.
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Continuous and Discrete State estimation for switched LPV systems using parameter identification
Automatica, 2015Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete and continuous State estimation for a class of uncertain switched LPV systems is addressed. Parameter identification techniques are applied to realize an approximate identification of the scheduled parameters of a switched LPV system with certain uncertainties and/or disturbances. A Discrete State estimation is achieved using the parameter identification. A Luenberger-like hybrid observer, based on Discrete State information and LMIs approach, is used for the continuous State estimation. The simplicity of the proposed method is one of the main advantages of this paper. The feasibility of the proposed method is illustrated by simulations.
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Discrete State estimation for switched LPV systems using parameter identification
2014 American Control Conference, 2014Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete State estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parameters with certain uncertainties, disturbances and/or noise. The Discrete State estimation is realized by means of the parameter identification. The efficiency of the proposed method is illustrated by simulations.
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ACC - Discrete State estimation for switched LPV systems using parameter identification
2014 American Control Conference, 2014Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete State estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parameters with certain uncertainties, disturbances and/or noise. The Discrete State estimation is realized by means of the parameter identification. The efficiency of the proposed method is illustrated by simulations.
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CDC - Discrete State reconstruction for mechanical switched systems using high-order sliding-mode identification techniques
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: H. Ríos, J. Davila, Leonid FridmanAbstract:In this paper the continuous State estimation and Discrete State identification is studied using high-order sliding-mode techniques. The high-order sliding mode observer is applied for continuous State observation in a class of mechanical systems. The State information is used in a recursive finite-time parameter estimation method. The Discrete State is identified using the parameter information. Simulations illustrates the workability of the proposed method.
H. Ríos - One of the best experts on this subject based on the ideXlab platform.
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Continuous and Discrete State estimation for switched LPV systems using parameter identification
Automatica, 2015Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete and continuous State estimation for a class of uncertain switched LPV systems is addressed. Parameter identification techniques are applied to realize an approximate identification of the scheduled parameters of a switched LPV system with certain uncertainties and/or disturbances. A Discrete State estimation is achieved using the parameter identification. A Luenberger-like hybrid observer, based on Discrete State information and LMIs approach, is used for the continuous State estimation. The simplicity of the proposed method is one of the main advantages of this paper. The feasibility of the proposed method is illustrated by simulations.
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Discrete State estimation for switched LPV systems using parameter identification
2014 American Control Conference, 2014Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete State estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parameters with certain uncertainties, disturbances and/or noise. The Discrete State estimation is realized by means of the parameter identification. The efficiency of the proposed method is illustrated by simulations.
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ACC - Discrete State estimation for switched LPV systems using parameter identification
2014 American Control Conference, 2014Co-Authors: H. Ríos, D. Mincarelli, D. Efimov, W. Perruquetti, J. DavilaAbstract:In this paper the problem of Discrete State estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parameters with certain uncertainties, disturbances and/or noise. The Discrete State estimation is realized by means of the parameter identification. The efficiency of the proposed method is illustrated by simulations.
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CDC - Discrete State reconstruction for mechanical switched systems using high-order sliding-mode identification techniques
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: H. Ríos, J. Davila, Leonid FridmanAbstract:In this paper the continuous State estimation and Discrete State identification is studied using high-order sliding-mode techniques. The high-order sliding mode observer is applied for continuous State observation in a class of mechanical systems. The State information is used in a recursive finite-time parameter estimation method. The Discrete State is identified using the parameter information. Simulations illustrates the workability of the proposed method.
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Discrete State reconstruction for mechanical switched systems using high-order sliding-mode identification techniques
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: H. Ríos, J. Davila, Leonid FridmanAbstract:In this paper the continuous State estimation and Discrete State identification is studied using high-order sliding-mode techniques. The high-order sliding mode observer is applied for continuous State observation in a class of mechanical systems. The State information is used in a recursive finite-time parameter estimation method. The Discrete State is identified using the parameter information. Simulations illustrates the workability of the proposed method.
Leonid Fridman - One of the best experts on this subject based on the ideXlab platform.
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CDC - Discrete State reconstruction for mechanical switched systems using high-order sliding-mode identification techniques
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: H. Ríos, J. Davila, Leonid FridmanAbstract:In this paper the continuous State estimation and Discrete State identification is studied using high-order sliding-mode techniques. The high-order sliding mode observer is applied for continuous State observation in a class of mechanical systems. The State information is used in a recursive finite-time parameter estimation method. The Discrete State is identified using the parameter information. Simulations illustrates the workability of the proposed method.
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Discrete State reconstruction for mechanical switched systems using high-order sliding-mode identification techniques
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: H. Ríos, J. Davila, Leonid FridmanAbstract:In this paper the continuous State estimation and Discrete State identification is studied using high-order sliding-mode techniques. The high-order sliding mode observer is applied for continuous State observation in a class of mechanical systems. The State information is used in a recursive finite-time parameter estimation method. The Discrete State is identified using the parameter information. Simulations illustrates the workability of the proposed method.
S. Drakunov - One of the best experts on this subject based on the ideXlab platform.
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Sliding-mode control in Discrete-State and hybrid systems
IEEE Transactions on Automatic Control, 1996Co-Authors: M. Dogruel, L. Ozguner, S. DrakunovAbstract:The sliding-mode control approach is developed for a class of Discrete-State systems in a metric space. A concept of trajectory continuity is introduced which allows the use of sliding-mode design techniques similar to that in continuous State systems. This approach is then applied to a class of hybrid systems which consists of a continuous plant, an interface, and a Discrete-State controller. The introduction of the sliding-mode concept leads to a design which is invariant to disturbances and also the solution of the stabilization problem.
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Sliding mode control in Discrete State systems
Proceedings of 32nd IEEE Conference on Decision and Control, 1993Co-Authors: M. Dogruel, S. Drakunov, U. OzgunerAbstract:The sliding mode control approach is used for a class of the Discrete State systems in a metric space. A concept of trajectory continuity is introduced, which allows the use of sliding mode design techniques similar to that in continuous State systems. Examples of the control design for finite State automata are considered.
M. Dogruel - One of the best experts on this subject based on the ideXlab platform.
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Sliding-mode control in Discrete-State and hybrid systems
IEEE Transactions on Automatic Control, 1996Co-Authors: M. Dogruel, L. Ozguner, S. DrakunovAbstract:The sliding-mode control approach is developed for a class of Discrete-State systems in a metric space. A concept of trajectory continuity is introduced which allows the use of sliding-mode design techniques similar to that in continuous State systems. This approach is then applied to a class of hybrid systems which consists of a continuous plant, an interface, and a Discrete-State controller. The introduction of the sliding-mode concept leads to a design which is invariant to disturbances and also the solution of the stabilization problem.
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Sliding mode control in Discrete State systems
Proceedings of 32nd IEEE Conference on Decision and Control, 1993Co-Authors: M. Dogruel, S. Drakunov, U. OzgunerAbstract:The sliding mode control approach is used for a class of the Discrete State systems in a metric space. A concept of trajectory continuity is introduced, which allows the use of sliding mode design techniques similar to that in continuous State systems. Examples of the control design for finite State automata are considered.