Efficient solutions for robust control problems
Published on:
8 April 2024
Primary Category:
Optimization and Control
Paper Authors:
Jad Wehbeh,
Eric C. Kerrigan
Bullets
Key Details
Extends previous local reduction method for robust control
Considers existence constraints and non-unique trajectories
Casts problems as standard semi-infinite programs
Generates optimal uncertainty sets for solutions
Provides examples in MPC, saturation, estimation
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AI generated summary
Efficient solutions for robust control problems
This paper extends previous methods for solving robust optimal control problems, which optimize system performance under worst-case uncertainties. The new approach handles additional complexities like existence constraints and non-unique solutions. Examples demonstrate the method on obstacle avoidance, input saturation, and parameter estimation. Locally optimal, constraint-satisfying solutions are obtained without needing global optimization.
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