期刊
AUTOMATICA
卷 41, 期 9, 页码 1567-1574出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2005.03.030
关键词
extremum seeking; adaptive control; nonlinear control systems; real-time optimization; constraints
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. (c) 2005 Elsevier Ltd. All rights reserved.
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