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This study is concerned with the data-based control of networked non-linear control systems with random packet dropouts in both the sensor-to-controller and controller-to-actuator channels. By taking advantage of the characteristics of networked control systems such as the packet-based transmission, timestamp technique, as well as smart sensor and actuator, a data-based networked predictive control...
This paper presents a robust adaptive controller for time-varying systems with unknown dead-zone nonlinearity at the plant input. The controller is designed based on the pole assignment strategy, and it is applicable even to systems in the presence of unmodeled dynamics, bounded external disturbances and time-varying parameters. The global stability is ensured by the proposed controller.
Quadruple tank process is built in lab which is multivariable nonlinear zero-adjustable typical process model. Networked control system for it is also constructed consisted of engineering station and optimization station in which matlab/simulink computation engine is located in so that the model based control algorithm prototype for quadruple tank system can be run in real-time with the help of Net-OPC...
Nonlinear Auto-Disturbance-Rejection-Control controller tuning problem is investigated. The tuning problem is recast into a multi-objective optimal problem .The typical Nonlinear Least Square Method Levenberg-Marqudart algorithm and min-max optimization method is utilized to realize the optimal iteration. A new optimal mechanism is introduced which integrate simulink and optimization toolbox of Matlab...
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