Static-output feedback controller design for a class of nonlinear networked control systems with random delay and data packet dropout

The problem studied the robust fault-tolerant controller design for the uncertain networked control system, The considered system has actuator and sensor failures. Under the non-ideal network conditions such as time-delay, data packet dropout and mis-sequence, a model of the networked control systems is provided, The robust stability conditions are obtained in the situation of actuator and sensor failures based on Lyapunov Krsasovkii functional method and static output feedback by introducing some free-weighing matrices, Based on this sufficient condition, the static output feedback controller design method is deduced in terms of linear matrix inequalities. An illustrative example shows the effectiveness and feasibility of proposed method.

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L1 control for Itô stochastic nonlinear networked control systems

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220923770 ◽

2020 ◽

Vol 42 (14) ◽

pp. 2675-2685

Author(s):

Ji Qi ◽

Yanhui Li

Keyword(s):

Control Systems ◽

Fuzzy Controller ◽

Controller Design ◽

Networked Control Systems ◽

Fuzzy Model ◽

Networked Control ◽

Linear Matrix ◽

Packet Dropout ◽

Data Packet Dropout ◽

Nonlinear Networked Control Systems

This paper investigates L1 control problem for a class of nonlinear stochastic networked control systems (NCSs) described by Takagi-Sugeno (T-S) fuzzy model. By exploiting a delay-dependent and basis-dependent Lyapunov-Krasovskii function and by means of the Itô stochastic differential equation technique, results on stability and L1 performance are proposed for the T-S fuzzy stochastic NCS. Specially, attention is focused on the fuzzy controller design that guarantees the closed-loop T-S fuzzy stochastic NCS is mean-square asymptotically stable and satisfies a prescribed L1 noise attenuation level [Formula: see text] with respect to all persistent and amplitude-bounded disturbance input signals. To reduce the conservatism of design, the signal transmission delay, data packet dropout, and quantization have been taken into consideration in the controller design. The corresponding design problem of L1 controller is converted into a convex optimization problem by solving a set of linear matrix inequalities (LMIs). Finally, simulation examples are provided to illustrate the feasibility and effectiveness of the proposed method.

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Dynamic Output Feedback Control for Nonlinear Networked Control Systems with Random Packet Dropout and Random Delay

Mathematical Problems in Engineering ◽

10.1155/2013/820280 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Shuiqing Yu ◽

Junmin Li ◽

Yingde Tang

Keyword(s):

Control Systems ◽

Output Feedback ◽

Networked Control Systems ◽

Output Feedback Control ◽

Packet Dropout ◽

Dynamic Output Feedback ◽

Random Delay ◽

Dynamic Output ◽

Nonlinear Networked Control Systems ◽

Random Packet Dropout

This paper investigates the dynamic output feedback control for nonlinear networked control systems with both random packet dropout and random delay. Random packet dropout and random delay are modeled as two independent random variables. An observer-based dynamic output feedback controller is designed based upon the Lyapunov theory. The quantitative relationship of the dropout rate, transition probability matrix, and nonlinear level is derived by solving a set of linear matrix inequalities. Finally, an example is presented to illustrate the effectiveness of the proposed method.

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