Closed-form solutions of stochastic and deterministic nonlinear control problems

被引:0
|
作者
Deng, H [1 ]
Krstic, M [1 ]
机构
[1] Univ Calif San Diego, Dept Appl Mech & Engn Sci, La Jolla, CA 92093 USA
关键词
noise-to-state stability; stability in probability; control Lyapunov functions; adaptive backstepping; inverse optimality; input-to-state stability; Sontag formula;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We review our recent results on stabilization and optimal disturbance attenuation for nonlinear systems with uncertainties. The systems are affine in the control and the disturbance but otherwise general. We treat both deterministic and stochastic disturbances. In both cases the disturbance attenuation problem is posed as a differential game (in the stochastic case the player opposed to control is not the noise itself but its covariance). The results are based on control Lyapunov function techniques. The full account of the results is given in our new monograph (Stabilization of Nonlinear Uncertain Systems, Springer, 1998). Copyright (C) 1998 IFAC.
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页码:327 / 332
页数:6
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