1,721,075 research outputs found
Stabilization for a Class of Nonlinear Systems: A Fuzzy Logic Approach
In this paper a fuzzy nonlinear ripple free regulator is proposed to solve the sample-data structurally stable regulation problem for the case of nonlinear or generalized immersion. This regulator guarantees asymptotic tracking of time-varying references, and rejection of disturbances, while maintaining the closed-loop stability. Such a regulator is based on a continuous fuzzy error feedback controller, which updates its states at each sampling period, and relies on the existence of an internal model. The internal model is obtained by determining, if possible, an observable generalized immersion of the exosystem dynamics. A key feature is that this immersion allows the generation of all the possible steady state inputs, for all admissible values of the system parameters. The robustness of the proposed fuzzy controller, under parameter uncertainties and changes on disturbance signals, is tested in an illustrative example
Design of Advanced Controllers for Nuclear Reactors using an Event-Triggered Control Technique
Generalized Immersion and Nonlinear Robust Output Regulation Problem
The problem of output regulation of the system affected by unknown constant parameters is considered here. Under certain assumptions, such a problem is known to be solvable using error feedback. The corresponding necessary and sufficient conditions basically include the solvability of the
so-called regulator equations and the existence of a finite dimensional immersion of the exogenous system with outputs into the one having suitable observability and controllability properties. Its model is then directly used for dynamic compensator construction. Usually, such an immersion may be selected as the one to an observable linear system with outputs, but for many interesting cases, this kind of finite dimensional immersion is
difficult or even impossible to find. In order to achieve constructive procedures for wider classes, this paper investigates a more general type of immersion, namely to nonlinear system containing a copy of exosystem or its part. Such a generalized immersion enables to solve robust output regulation problem via dynamic feedback compensator using error and exosystem state measurement. When the exosystem states are not completely measurable, a modified observed-based generalized immersion is then presented. Examples together with computer simulation are included to clarify the suggested approach
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