A necessary optimality condition for constrained optimal control of hybrid systems

Author(s):  
Andreas B. Hempel ◽  
Paul J. Goulart ◽  
John Lygeros
2006 ◽  
Vol 51 (12) ◽  
pp. 1903-1919 ◽  
Author(s):  
Mato Baoti ◽  
Frank J. Christophersen ◽  
Manfred Morari

2012 ◽  
Vol 2012 ◽  
pp. 1-22
Author(s):  
Chunyue Song

Gradient-based algorithms are efficient to compute numerical solutions of optimal control problems for hybrid systems (OCPHS), and the key point is how to get the sensitivity analysis of the optimal control problems. In this paper, optimality condition-based sensitivity analysis of optimal control for hybrid systems with mode invariants and control constraints is addressed under a priori fixed mode transition order. The decision variables are the mode transition instant sequence and admissible continuous control functions. After equivalent transformation of the original problem, the derivatives of the objective functional with respect to control variables are established based on optimal necessary conditions. By using the obtained derivatives, a control vector parametrization method is implemented to obtain the numerical solution to the OCPHS. Examples are given to illustrate the results.


Automatica ◽  
2005 ◽  
Vol 41 (10) ◽  
pp. 1709-1721 ◽  
Author(s):  
Francesco Borrelli ◽  
Mato Baotić ◽  
Alberto Bemporad ◽  
Manfred Morari

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Shahlar Meherrem ◽  
Rufan Akbarov

We examine the relationships between lower exhausters, quasidifferentiability (in the Demyanov and Rubinov sense), and optimal control for switching systems. Firstly, we get necessary optimality condition for the optimal control problem for switching system in terms of lower exhausters. Then, by using relationships between lower exhausters and quasidifferentiability, we obtain necessary optimality condition in the case that the minimization functional satisfies quasidifferentiability condition.


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