【摘 要】
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A new prescribed-time state-feedback design is presented for stochastic nonlinear strict-feedback systems.Different from the existing stochastic prescribed-time design where scaling-free quartic Lyapunov functions or scaled quadratic Lyapunov functions ar
【机 构】
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School of Mathematics and Statistics Science,Ludong University,Yantai 264025,China;Department of Mec
论文部分内容阅读
A new prescribed-time state-feedback design is presented for stochastic nonlinear strict-feedback systems.Different from the existing stochastic prescribed-time design where scaling-free quartic Lyapunov functions or scaled quadratic Lyapunov functions are used,the design is based on new scaled quartic Lyapunov functions.The designed controller can ensure that the plant has an almost surely unique strong solution and the equilibrium at the origin of the plant is prescribed-time mean-square stable.After that,the authors redesign the controller to solve the prescribed-time inverse optimal mean-square stabilization problem.The merit of the design is that the order of the scaling function in the controller is reduced dramatically,which effectively reduces the control effort.Two simulation examples are given to illustrate the designs.
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