TY - GEN
T1 - Optimal and Sub-optimal Control Design for Second Order Nonlinear Affine Systems using Krotov Sufficient Conditions
AU - Kumar, Avinash
AU - Jain, Tushar
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - This article tackles the optimal control design problem for second order nonlinear affine systems using Krotov sufficient conditions. The computation of optimal control law(s) for nonlinear systems is usually done using the iterative methods based on the standard tools of optimal control theory which viz. Calculus of Variations (CoV), Hamilton-Jacobi-Bellman equation, Pontryagin's principle, etc. This work utilizes the Krotov sufficient conditions of global optimality to obtain non-iterative solutions. These conditions are derived by transforming the optimal control problem into another equivalent optimization problem. This translation is done via an ad-hoc selection of the so-called Krotov function. In this article, the Krotov function is chosen such that the equivalent optimization problem is solved non-iteratively to obtain optimal and sub-optimal control laws for the original optimal control problem. The proposed methodology is demonstrated by a numerical example.
AB - This article tackles the optimal control design problem for second order nonlinear affine systems using Krotov sufficient conditions. The computation of optimal control law(s) for nonlinear systems is usually done using the iterative methods based on the standard tools of optimal control theory which viz. Calculus of Variations (CoV), Hamilton-Jacobi-Bellman equation, Pontryagin's principle, etc. This work utilizes the Krotov sufficient conditions of global optimality to obtain non-iterative solutions. These conditions are derived by transforming the optimal control problem into another equivalent optimization problem. This translation is done via an ad-hoc selection of the so-called Krotov function. In this article, the Krotov function is chosen such that the equivalent optimization problem is solved non-iteratively to obtain optimal and sub-optimal control laws for the original optimal control problem. The proposed methodology is demonstrated by a numerical example.
UR - https://www.scopus.com/pages/publications/85077529948
U2 - 10.1109/SYSTOL.2019.8864735
DO - 10.1109/SYSTOL.2019.8864735
M3 - Conference contribution
AN - SCOPUS:85077529948
T3 - Conference on Control and Fault-Tolerant Systems, SysTol
SP - 401
EP - 405
BT - 2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019
PB - IEEE Computer Society
T2 - 4th Conference on Control and Fault Tolerant Systems, SysTol 2019
Y2 - 18 September 2019 through 20 September 2019
ER -