Optimal linear feedback control for non-linear-non-quadratic-non-Gaussian problems

研究成果: Conference article同行評審


An optimal linear feedback controller designed for a general nonlinear stochastic system with nonquadratic performance criteria and using a non-Gaussian approach is presented. The non-Gaussian method is developed by expressing the unknown stationary output density function as a weighted sum of the Gaussian densities with undetermined parameters. With the aid of a Gaussian-sum density, the optimal feedback gain for a control system with complete state information is derived. By assuming that the separation principle is valid, a nonlinear precomputed gain filter is then implemented. The method is illustrated by a Duffing-type control system, and the performance of a linear feedback controller designed through both quadratic and nonquadratic performance indices is compared.

頁(從 - 到)481-487
期刊Proceedings of the American Control Conference
出版狀態Published - 1990 一月 1
事件Proceedings of the 1990 American Control Conference - San Diego, CA, USA
持續時間: 1990 五月 231990 五月 25

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程


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