Optimal Neumann control for the 1D wave equation: finite horizon, infinite horizon, boundary tracking terms and the turnpike property

TL;DR

This paper analyzes the optimal boundary control of a 1D vibrating string, revealing explicit solutions, the turnpike property, and control behavior over finite and infinite horizons, with implications for boundary control strategies.

Contribution

It provides explicit solutions for the Neumann boundary control problem, demonstrating the turnpike phenomenon and control structure for both finite and infinite time horizons.

Findings

Optimal control is concentrated at the beginning and end of the interval.

In the infinite horizon case, control decays exponentially over time.

Turnpike phenomenon occurs with the control and state close to zero in the middle of the interval.

Abstract

We consider a vibrating string that is fixed at one end with Neumann control action at the other end. We investigate the optimal control problem of steering this system from given initial data to rest, in time T , by minimizing an objective functional that is the convex sum of the L 2-norm of the control and of a boundary Neumann tracking term. We provide an explicit solution of this optimal control problem, showing that if the weight of the tracking term is positive, then the optimal control action is concentrated at the beginning and at the end of the time interval, and in-between it decays exponentially. We show that the optimal control can actually be written in that case as the sum of an exponentially decaying term and of an exponentially increasing term. This implies that, if the time T is large the optimal trajectory approximately consists of three arcs, where the first and the third short-time arcs are transient arcs, and in the middle arc the optimal control and the corresponding state are exponentially close to 0. This is an example for a turnpike phenomenon for a problem of optimal boundary control. If T = +$\infty$ (infinite horizon time problem), then only the exponentially decaying component of the control remains, and the norms of the optimal control action and of the optimal state decay exponentially in time. In contrast to this situation if the weight of the tracking term is zero and only the control cost is minimized, then the optimal control is distributed uniformly along the whole interval [0, T ] and coincides with the control given by the Hilbert Uniqueness Method.