Gain-Scheduled Worst-Case Control on Nonlinear Stochastic Systems Subject to Actuator Saturation and Unknown Information
In this paper, we propose a method for designing continuous gain-scheduled worst-case controller for a class of stochastic nonlinear systems under actuator saturation and unknown information. The stochastic nonlinear system under study is governed by a finite-state Markov process, but with partially...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer New York LLC
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/51998 |