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This paper considers the problem of driving to zero by means of state feedback the state of a nonlinear, time-invariant plant, when only an approximate model of the plant is known and the information about its state is available, for control purposes, only at non equally spaced sampling instants. To this aim, a specific model-based control scheme is used and suitable hypotheses of Lipschitz type about...
In this paper, the H∞ control problem is studied for nonlinear systems with random packet losses. The measurement missing probability are governed by an individual random variable satisfying a certain probabilistic distribution in the interval . Attention is focused on the analysis and design an observer-based feedback controller such that the closed-loop control system is stochastically stable and...
The fault-tolerant controller for a class of nonlinear networked control systems with time-varied delays is proposed. Aiming at the networked control systems composed by a class of nonlinear plant and the state feedback controller, the sufficient conditions for systems maintaining exponentially stability against actuator or sensor failures are given respectively based on Taylor linearization theory...
Fuzzy control is simple in design, and has strong robustness. It can obtain ideal control effect in the case of not firmly knowing the system model, and can be applied to many nonlinear systems. In order to effectively restrain the impact of network delays for networked control systems (NCS), a novel approach is proposed that modified Smith predictor combined with fuzzy adaptive PID control for the...
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...
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