scholarly journals Sufficient conditions for feasibility of optimal control problems using Control Barrier Functions

Automatica ◽  
2022 ◽  
Vol 135 ◽  
pp. 109960
Author(s):  
Wei Xiao ◽  
Calin A. Belta ◽  
Christos G. Cassandras
2018 ◽  
Vol 24 (4) ◽  
pp. 1705-1734 ◽  
Author(s):  
Roman Šimon Hilscher ◽  
Vera Zeidan

The main focus of this paper is to develop a sufficiency criterion for optimality in nonlinear optimal control problems defined on time scales. In particular, it is shown that the coercivity of the second variation together with the controllability of the linearized dynamic system are sufficient for the weak local minimality. The method employed is based on a direct approach using the structure of this optimal control problem. The second aim pertains to the sensitivity analysis for parametric control problems defined on time scales with separately varying state endpoints. Assuming a slight strengthening of the sufficiency criterion at a base value of the parameter, the perturbed problem is shown to have a weak local minimum and the corresponding multipliers are shown to be continuously differentiable with respect to the parameter. A link is established between (i) a modification of the shooting method for solving the associated boundary value problem, and (ii) the sufficient conditions involving the coercivity of the accessory problem, as opposed to the Riccati equation, which is also used for this task. This link is new even for the continuous time setting.


2019 ◽  
Vol 25 ◽  
pp. 1 ◽  
Author(s):  
Lucas Bonifacius ◽  
Konstantin Pieper

Sufficient conditions for strong stability of a class of linear time-optimal control problems with general convex terminal set are derived. Strong stability in turn guarantees qualified optimality conditions. The theory is based on a characterization of weak invariance of the target set under the controlled equation. An appropriate strengthening of the resulting Hamiltonian condition ensures strong stability and yieldsa prioribounds on the size of multipliers, independent of,e.g., the initial point or the running cost. In particular, the results are applied to the control of the heat equation into anL2-ball around a desired state.


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