2013
DOI: 10.1137/130907239
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Long Time versus Steady State Optimal Control

Abstract: This paper is devoted to analyze the convergence of optimal control problems for an evolution equation in a finite time-horizon [0, T ] towards the limit steady state ones as T → ∞. We focus on linear problems. We first consider linear time-independent finite-dimensional systems and show that the optimal controls and states exponentially converge in the transient time (as T tends to infinity) to the ones of the corresponding steady state model. For this to occur suitable observability assumptions need to be im… Show more

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Cited by 130 publications
(187 citation statements)
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“…This property, known in the optimal control literature as the turnpike property, will play a key role in our analysis. Interestingly, the turnpike property, which is a classical property in optimal control [52,18,39,14] has recently attracted renewed attention, not least because of its importance for Receding Horizon Control [16,19,20,50,42].…”
Section: Introductionmentioning
confidence: 99%
“…This property, known in the optimal control literature as the turnpike property, will play a key role in our analysis. Interestingly, the turnpike property, which is a classical property in optimal control [52,18,39,14] has recently attracted renewed attention, not least because of its importance for Receding Horizon Control [16,19,20,50,42].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, under an exponential turnpike assumption, cf. [5,12], the trajectories converge to a neighborhood of x e and there exists at least one time horizon for which the closed loop trajectory is also approximately optimal in a finite horizon sense. Since (approximate) optimality in an infinite horizon averaged sense is in fact a rather weak optimality concept (as the trajectory may be far from optimal on any finite time interval) the latter is important because it tells us that the closed loop trajectory when initialized away form the optimal steady state approaches this equilibrium in an approximately optimal way.…”
mentioning
confidence: 98%
“…Dissipativity, see [8,9], and related properties, see, e.g, [19,Condition 2.2], are already well known for establishing non-exponential turnpike for continuous time problems without assuming convexity or concavity. For finite and infinite dimensional linear quadratic continuous time problems, the recent paper [23] establishes exponential turnpike theorems via the use of Riccati equations (for an earlier Riccati approach to turnpike-like results see also [3]). While this approach yields similar results to ours in the linear quadratic case, our approach in this paper applies to general nonlinear nonquadratic problems and entirely avoids the use of Riccati equations.…”
mentioning
confidence: 99%
“…Hence, C P grows linearly with the distance of the points in X 0 from x e . (ii) We consider Theorem 6.2 remarkable since many known turnpike theorems (both exponential ones like [23,Theorem 2.3] and non exponential ones like [9, Theorem 4.2]), when specialized to the linear quadratic case require controllability of (A, B) instead of the weaker stabilizability our theorem requires. The equivalence statement of our theorem moreover shows that one cannot further weaken this assumption.…”
mentioning
confidence: 99%