Title :
A variational derivation of LQR for piecewise time-varying systems
Author :
Ansari, Alex ; Murphey, Todd
Author_Institution :
Dept. of Mech. Eng., Northwestern Univ., Evanston, IL, USA
Abstract :
This paper provides a complete derivation for LQR optimal controllers and the optimal value function using basic principles from variational calculus. As opposed to alternatives, the derivation does not rely on the Hamilton-Jacobi-Bellman (HJB) equations, Pontryagin´s Maximum Principle (PMP), or the Euler Lagrange (EL) equations. Because it requires significantly less background, the approach is educationally instructive. It provides a different perspective of how and why key quantities such as the adjoint variable and Riccati equation show up in optimal control computations and their connection to the optimal value function. Additionally, the derivation presented requires fewer regularity assumptions than necessary in applying the HJB or EL equations. As with PMP, the methods in this paper apply to systems and controls that are piecewise continuous in time.
Keywords :
Riccati equations; calculus; linear quadratic control; maximum principle; time-varying systems; EL equation; Euler Lagrange equation; HJB equation; Hamilton-Jacobi-Bellman equation; LQR optimal controller; LQR variational derivation; PMP; Pontryagin maximum principle; Riccati equation; optimal value function; time-varying system; variational calculus; Differential equations; Integral equations; Mathematical model; Optimal control; Riccati equations;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7171069