We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adap...
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We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.
A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a n...
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A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a nonlinear state equation and a bi-linear output equation. It has been shown that the model is locally asymptotically stable with parameters obtained from the literature for a similar generator. The effect of load disturbances on the partially controlled generator has been analyzed by simulation using a traditional PI controller. It has been found that the controlled system is stable and can follow the set-point changes in the effective power well. The disturbance rejection of the controller is also satisfactory.
The paper considers the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact stat...
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The paper considers the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact state and perturbation estimation. It is introduced a controller with a compensation strategy based on the identified perturbation values. When the system satisfies quite restrictive assumptions, the method ensures exact regulation of the unmatched states. In order to deal with the general case it is proposed a nested backward strategy to design the sliding surface, which allows to compensate the unmatched uncertainties and to stabilize some of the non-actuated state components, while all the remaining states are maintained bounded.
PID controller has simple structure and easy applicability with strong performance robustness. Decentralized PID controller and decoupling PID controller are widely adopted in the control of two-input-two-output (TITO...
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PID controller has simple structure and easy applicability with strong performance robustness. Decentralized PID controller and decoupling PID controller are widely adopted in the control of two-input-two-output (TITO) processes. Firstly, a simple decoupling controller matrix and a desired dynamic decoupling controller matrix are designed according to the idea of coupling matrix. And then three schemes of controller including decentralized PID controller, simple PID decoupling controller and desired dynamic PID decoupling controller are provided based on the excellent characteristic of DDE. Lastly, the Monte-Carlo stochastic experiment is introduced to analyze performance robustness of the controllers. The simulation experiments illustrate that the simple decoupling control scheme has the ability of complete decoupling and better performance robustness.
This paper tackles the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact state...
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ISBN:
(纸本)9781424477456
This paper tackles the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact state and perturbation estimation. In this work is introduced a controller with a compensation strategy based on the identified perturbation values. A nested backward sliding surface design is proposed, which allows to compensate the unmatched uncertainties and to stabilize some of the non-actuated state components, while all the remaining states are maintained bounded. The overall stabilization error is estimated in terms of the sampling time and actuator time constant values. The feasibility of the technique is showed in a rotary inverted pendulum simulation example.
Active yaw stabilization for passenger vehicles, following driver yaw rate commands with steer-by-wire and rear break force distribution, is discussed. The problem is solved via a decomposition of the vehicle equation...
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In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic slee...
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The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine app...
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This paper will present a study on the robustness of anti-windup systems where the plant uncertainty can be expressed by LTI norm-bounded operators. The treatment is constructed under the IQC framework of Megretski an...
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This paper will present a study on the robustness of anti-windup systems where the plant uncertainty can be expressed by LTI norm-bounded operators. The treatment is constructed under the IQC framework of Megretski and Rantzer. Robustness of anti-windup systems against LTI uncertainty using frequency dependent IQCs are less conservative than those where plant uncertainty is addressed by static IQCs. They can however increase significantly the computational burden in the algorithms. The paper shows that sufficient conditions for robustness of anti-windup systems against LTI uncertainty can be, in some circumstances, greatly simplified. They can also be expressed in the frequency domain and interpreted graphically. The test is finally exploited for anti-windup tuning.
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