This paper is concerned with dissipative control for networked nonlinear system with missing *** T-S discrete fuzzy model is adopted for modeling the nonlinear *** measurement from the sensor to the controller and mis...
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This paper is concerned with dissipative control for networked nonlinear system with missing *** T-S discrete fuzzy model is adopted for modeling the nonlinear *** measurement from the sensor to the controller and missing data from the controller to the actuator are simultaneously *** missing measurement and missing control are described as the random missing data by a binary switching sequence satisfying a Bernoulli *** conditions for existence of a dynamic output feedback fuzzy controller,such that the closed-loop system is exponentially mean-square stable and strictly dissipative,are derived in terms of linear matrix inequalities (LMIs).The effectiveness of the proposed method is illustrated by means of a numerical example.
This paper studies the fixed-order controllers design problem for multi-input-multi-output (MIMO) systems. Polynomial methods are employed to design a controller that guarantees all the closed-loop poles reside within...
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This paper studies the fixed-order controllers design problem for multi-input-multi-output (MIMO) systems. Polynomial methods are employed to design a controller that guarantees all the closed-loop poles reside within given D-stability regions. An H infin optimization approach is proposed to minimize the interaction between different channels of the MIMO system. Sufficient conditions for the existence of such a fixed-controller is established by using the linear matrix inequalities (LMIs) approach.
In the framework of multi-objective control, this paper presents a mixed H-2/H-infinity dynamic output feedback control strategy to the network remote control system with measurement data missing and control data miss...
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ISBN:
(纸本)9781424421138
In the framework of multi-objective control, this paper presents a mixed H-2/H-infinity dynamic output feedback control strategy to the network remote control system with measurement data missing and control data missing. Via matrix inequality method, the sufficient for existence of the dynamic output feedback controller, guaranteeing the closed-loop system has H-2 and H-infinity performance simultaneously, is given. A novel arithmetic is put forward to optimize the controller performance via SLPMM (sequentially linear programming matrix method). A numerical example is presented to demonstrate the feasibility of the proposed design approach.
This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output fee...
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ISBN:
(纸本)9781424421138
This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output feedback controller is to be designed. Random delays from the sensor to the controller and from the controller to the actuator are simultaneously considered. And the random delays are described by a binary switching sequence satisfying a Bernoulli distribution. Sufficient conditions for existence of a dynamic output feedback fuzzy controller, such that the closed-loop system is exponentially mean-square stable and strict quadratic dissipative, is present via matrix inequality method. The iterative algorithm is provided to solve the matrix inequalities by using SLPMM (sequentially linear programming matrix method). Finally, a numerical example is given to show the validity and feasibility of the proposed approach.
In the framework of multi-objective control, this paper presents a mixed H 2 /H infin dynamic output feedback control strategy to the network remote control system with measurement data missing and control data missi...
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In the framework of multi-objective control, this paper presents a mixed H 2 /H infin dynamic output feedback control strategy to the network remote control system with measurement data missing and control data missing. Via matrix inequality method, the sufficient for existence of the dynamic output feedback controller, guaranteeing the closed-loop system has H 2 and H infin performance simultaneously, is given. A novel arithmetic is put forward to optimize the controller performance via SLPMM (sequentially linear programming matrix method). A numerical example is presented to demonstrate the feasibility of the proposed design approach.
This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output fee...
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This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output feedback controller is to be designed. Random delays from the sensor to the controller and from the controller to the actuator are simultaneously considered. And the random delays are described by a binary switching sequence satisfying a Bernoulli distribution. Sufficient conditions for existence of a dynamic output feedback fuzzy controller, such that the closed-loop system is exponentially mean-square stable and strict quadratic dissipative, is present via matrix inequality method. The iterative algorithm is provided to solve the matrix inequalities by using SLPMM (sequentially linear programming matrix method). Finally, a numerical example is given to show the validity and feasibility of the proposed approach.
The problem of the non-fragile dissipative control for the nonlinear discrete systems is dealt with. The T-S models is constructed for nonlinear systems, which makes the model approach to the original system more exac...
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The problem of the non-fragile dissipative control for the nonlinear discrete systems is dealt with. The T-S models is constructed for nonlinear systems, which makes the model approach to the original system more exact. The sufficient conditions for the existence of a dynamic output feedback fuzzy controller such that, for all admissible multiplicative controller gain variations, the closed-loop system is asymptotically stable and the dissipative performance is guaranteed, are derived in the sense of Lyapunov asymptotic stability and are formulated in the format of matrix inequalities. The sequentially linear programming matrix method (SLPMM) is applied to solve the matrix inequalities. Numerical example is provided to demonstrate the feasibility of the proposed conditions and the procedure of the controllers design.
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