Journal of Industrial and Management Optimization · 2016 · 26 citations · 21 references
Natural SciencesMathematicsSystems EngineeringOptimizationUncertainty QuantificationControl SystemsControl TheoryController DesignOptimal ControlOptimization Under UncertaintyRobust ControlDiscrete-time ControlDiscrete-time Control SystemsLinear-quadratic ControlObjective Function FormulationRobust Control Of Uncertain SystemsSwitched ControlSwitched SystemsSwitching Systems
This paper studies a linear-quadratic control problem for discrete-time switched systems with subsystems perturbed by uncertainty. Analytical expressions are derived for both the optimal objective function and the optimal switching strategy. A two-step pruning scheme is developed to efficiently solve such problem. The performance of this method is shown by two examples.
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Prospect Theory: An Analysis of Decision under Risk
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Natural Sciences, Infectious Disease Control, Infectious Diseases +17
Why is There a Need for Uncertainty Theory
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