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This article is cited in 14 scientific papers (total in 14 papers)
Linear Systems
Static controller synthesis for peak-to-peak gain minimization as an optimization problem
B. T. Polyak, M. V. Khlebnikov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia
Abstract:
An optimization approach to linear control systems has recently become very popular. For example, the linear feedback matrix in the classical linear-quadratic regulator problem can be viewed as a variable, and the problem can be reduced to the minimization of the performance indicator for this variable. To this end, one can apply the gradient method and obtain a justification of the convergence. This approach has been successfully applied to a number of problems, including output feedback optimization. The present paper is the first to apply this approach to the peak-to-peak gain minimization problem. A gradient method for finding a static state or output feedback is written out and justified. A number of examples are considered, including the single and double pendulums.
Keywords:
linear systems, exogenous disturbance, output feedback, state feedback, optimization, gradient method, Newton method, convergence.
Citation:
B. T. Polyak, M. V. Khlebnikov, “Static controller synthesis for peak-to-peak gain minimization as an optimization problem”, Avtomat. i Telemekh., 2021, no. 9, 86–115; Autom. Remote Control, 82:9 (2021), 1530–1553
Linking options:
https://www.mathnet.ru/eng/at15782 https://www.mathnet.ru/eng/at/y2021/i9/p86
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Abstract page: | 222 | Full-text PDF : | 10 | References: | 45 | First page: | 43 |
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