An innovated investigation of the control problem for nonlinear discrete-time plant systems via Takagi-Sugeno fuzzy model was carried out. Firstly, nonlinear dynamic plants are represented by such a fuzzy model, and t...
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ISBN:
(纸本)9781467322768
An innovated investigation of the control problem for nonlinear discrete-time plant systems via Takagi-Sugeno fuzzy model was carried out. Firstly, nonlinear dynamic plants are represented by such a fuzzy model, and then the overall fuzzy model of nonlinear plant is transformed into a class of uncertain linear systems. Thus the stabilization problem of nonlinear plants was mapped into equivalent robust stabilization problem of uncertain linear systems with mismatched uncertainties. The robust stabilization of such uncertain systems is achieved by applying discrete-time sliding mode control approach. The stable sliding surface is designed via linear matrix inequalities to reduce the influence of mismatched uncertainties while also a sufficient condition for its existence was derived too. The synthesis design of the SMC guarantees system robust stabilization in closed loop. Chattering around the sliding surface in sliding mode control is also considerably reduced by this design. This novel technique was applied to the trailer-truck benchmark example and the essential simulation results are given to demonstrate feasibility and performance effectiveness of the proposed method.
A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Sugeno fuzzy ...
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ISBN:
(纸本)9781467322768
A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.
The stabilization problem is addressed for a class of switched singular systems with state jumps. Firstly, we introduce a new class of systems, so called switched singular systems with state jumps, by adopting a defin...
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The stabilization problem is addressed for a class of switched singular systems with state jumps. Firstly, we introduce a new class of systems, so called switched singular systems with state jumps, by adopting a definition on initial instantaneous jumps of singular systems. Then, multiple Lyapunov function techniques are extended to this class of switched singular systems and a hybrid switching law is designed based on a partition of state space by using S-procedure method. A sufficient condition for the system to be asymptotically stable is formulated by solving a set of LMIs and the state feedback controllers are designed as well. Finally, an example is given to illustrate the effectiveness of our approach for this kind of switched singular systems with state jumps
The stabilization problem is addressed for a class of switched singular systems with state jumps. Firstly, we introduce a new class of systems, so called switched singular systems with state jumps, by adopting a defin...
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Based on a nonlinear second-order model for a single-machine infinite-bus system with TCSC, two kinds of nonlinear controller were designed using backstepping sliding mode methods. With backstepping sliding mode, the ...
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Based on a nonlinear second-order model for a single-machine infinite-bus system with TCSC, two kinds of nonlinear controller were designed using backstepping sliding mode methods. With backstepping sliding mode, the origin nonlinear system doesn't need to be linearized and the closed-loop error system is guaranteed to be asymptotically stable. When damping coefficients can't be measured inaccurately, a dynamic feedback controller can be designed using adaptive backstepping sliding mode containing the real-time estimation of uncertainty parameter. The design procedure reveals that the controller designed by backstepping sliding mode method has good performances and robustness
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