Robust Discrete-Time Pontryagin Maximum Principle on Matrix Lie Groups

成果类型:
Article
署名作者:
Joshi, Anant A.; Chatterjee, Debasish; Banavar, Ravi N.
署名单位:
University of Illinois System; University of Illinois Urbana-Champaign; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Bombay
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2021.3100553
发表日期:
2022
页码:
3545-3552
关键词:
Optimal control MANIFOLDS Aerospace electronics uncertainty games STANDARDS Numerical simulation geometric control optimal control Pontryagin maximum principle (PMP) Robust control saddle point
摘要:
This article considers a discrete-time robust optimal control problem on matrix Lie groups. The underlying system is assumed to be perturbed by exogenous unmeasured bounded disturbances, and the control problem is posed as a min-max optimal control wherein the disturbance is the adversary and tries to maximize a cost that the control tries to minimize. Assuming the existence of a saddle point in the problem, we present a version of the Pontryagin maximum principle (PMP) that encapsulates first-order necessary conditions that the optimal control and disturbance trajectories must satisfy. This PMP features a saddle point condition on the Hamiltonian and a set of backward difference equations for the adjoint dynamics. We also present a special case of our result on Euclidean spaces. We conclude with applying the PMP to robust version of single axis rotation of a rigid body.