Divided State Feedback Control of Stochastic Systems

“…A similar criterion for exact detectability has also been proposed in [2]. As for the controller design problems, many researchers concentrated their attentions on state feedback control [3,4], output feedback control [5] and so on.…”

Section: Introductionmentioning

confidence: 99%

Global practical tracking for stochastic time-delay nonlinear systems with SISS-like inverse dynamics

Xue

Zhang

Xie

2017

Sci. China Inf. Sci.

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This paper investigates the practical tracking problem of stochastic delayed nonlinear systems. The powers of the nonlinear terms are relaxed to a certain interval rather than a precisely known point. Based on the Lyapunov-Krasovskii (L-K) functional method and the modified adding a power integrator technique, a new controller is constructed to render the solutions of the considered system to be bounded in probability, and furthermore, the tracking error in sense of the mean square can be made small enough by adjusting some designed parameters. A simulation example is provided to demonstrate the validity of the method in this paper.

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“…State feedback or output feedback can be used to guarantee the system stability and dynamic performances [2]. The forward integrator and the state feedback controller should be designed synthetically so that the different control requirements can be met simultaneously [3].…”

Section: Introductionmentioning

confidence: 99%

Design of Tracking Control System by Closed-Loop Pole Placement

Zhang

Zhang²,

Zhang

2015

Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

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This paper focuses on designing the MIMO tracking control system which can achieve zero steady state errors and obtain desired dynamic performances, simultaneously. By using state feedback, the closed-loop stability and desired dynamic performances are guaranteed. By integrating the deviations between reference inputs and measured outputs, i.e. augmenting system states, the steady state errors are eliminated. The state feedback gain and the forward integral gain are derived synchronously based on closed-loop pole placement method. Studying results indicate the closed-loop system achieves zero steady state errors and obtains desired dynamic performances as well as closed-loop stability. By pole placement of the closed-loop system combining forward integrator with state feedback controller, a complete tracking control system can be designed.

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Divided State Feedback Control of Stochastic Systems

Cited by 13 publications

References 36 publications

Hybrid control of stochastic chaotic system based on memristive Lorenz system with discrete and distributed time‐varying delays

Hybrid control of stochastic chaotic system based on memristive Lorenz system with discrete and distributed time‐varying delays

Global practical tracking for stochastic time-delay nonlinear systems with SISS-like inverse dynamics

Design of Tracking Control System by Closed-Loop Pole Placement

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