Model-Based adaptive event-Triggered control of nonlinear continuous-Time systems

2021 ◽  
Vol 408 ◽  
pp. 126330
Author(s):  
Zhongyu Chen ◽  
Ben Niu ◽  
Xudong Zhao ◽  
Liang Zhang ◽  
Ning Xu
Keyword(s):  
Continuous Time ◽  
Model Based ◽  
Continuous Time Systems ◽  
Time Systems ◽  
Event Triggered

Controller design for systems subject to multi-layer nested saturation via event-triggered scheme

2020 ◽  
pp. 014233122094048
Author(s):  
Yuan Zhou ◽  
Hongchao Li ◽  
Jiao Liu ◽  
Dedong Yang
Keyword(s):  
Continuous Time ◽  
Optimization Problem ◽  
Final Section ◽  
Controller Design ◽  
Domain Of Attraction ◽  
Time Interval ◽  
Event Time ◽  
Continuous Time Systems ◽  
Time Systems ◽  
Event Triggered

The design of an event-triggered controller to stabilize the continuous-time systems subject to multi-layer nested saturation is presented in this paper. As a complex nonlinearity, the nested saturation exists in a large number of systems, which may degrade the performance of the system. The sufficient condition for stabilization of the multi-layer saturated system is given by employing event-triggered control, which could reduce communication load of the system. The lower bound of the inter-event time interval is calculated to avoid the Zeno behavior. The domain of attraction for the system is estimated, which is determined by solving an optimization problem. The main advantage of the proposed approach lies in the extensive applicability for different layers of the nested saturation. In the final section, simulation and pratical examples are given to demonstrated the effectiveness of the proposed results.

scholarly journals A MODEL-BASED SCHEME FOR ANTICONTROL OF SOME CHAOTIC SYSTEMS

2003 ◽  
Vol 13 (11) ◽  
pp. 3449-3457 ◽  
Author(s):  
ÖMER MORGÜL
Keyword(s):  
Continuous Time ◽  
Chaotic Systems ◽  
Controlled System ◽  
Model Based ◽  
Continuous Time Systems ◽  
Chaotic Model ◽  
Controllable Systems ◽  
Synchronization Scheme ◽  
Time Systems

We consider a model-based approach for the anticontrol of some continuous time systems. We assume the existence of a chaotic model in an appropriate form. By using a suitable input, we match the dynamics of the controlled system and the chaotic model. We show that controllable systems can be chaotified with the proposed method. We give a procedure to generate such chaotic models. We also apply an observer-based synchronization scheme to compute the required input.

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