Observer-based gain-scheduled controller design of uncertain ship autopilot stochastic system

C. Ku, Guan‐Wei Chen
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Abstract

The aim of this paper is to propose observer-based control methods for continuous-time uncertain ship autopilot stochastic system. In order to characterize uncertainty and stochastic behavior, Linear Parameter Varying (LPV) modeling approach and multiplicative noise term are applied to represent the considered system. And, Gain-Scheduled (GS) control technique is applied to deal with stabilization problem of the system. For analyzing stability and stabilization problem, some sufficient conditions are derived into Linear Matrix Inequality (LMI) from that can be directly solved by convex optimization algorithm. Finally, the simulation is provided to ensure the applicability of the proposed method.
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基于观测器的不确定船舶自动驾驶随机系统增益调度控制器设计
针对连续时间不确定船舶自动驾驶随机系统,提出了基于观测器的控制方法。为了描述系统的不确定性和随机行为,采用线性参数变化(LPV)建模方法和乘性噪声项来表示系统。并采用增益计划控制技术来解决系统的镇定问题。为了分析系统的稳定性与镇定问题,导出了线性矩阵不等式(LMI)的一些充分条件,这些条件可以用凸优化算法直接求解。最后通过仿真验证了所提方法的适用性。
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