Extremum-seeking control of state-constrained nonlinear systems

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• 作者：Darryl DeHaan and Martin Guay
• 关键词：Extremum seeking ; Adaptive control ; Nonlinear control systems ; Real-time optimization ; Constraints
• 刊名：Automatica
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：41
• 期：9
• 页码：1567-1574
• 全文大小：309 K

文摘

An extremum-seeking control problem is posed for a class of nonlinear systems with unknown dynamical parameters, whose states are subject to convex, pointwise inequality constraints. Using a barrier function approach, an adaptive method is proposed for generating setpoints online which converge to the feasible minimizer of a convex objective function containing the unknown dynamic parameters. A tracking controller regulates system states to the generated setpoint via state feedback, while maintaining feasibility of the state constraints. A simulation example demonstrates application of the method.