Abstract
This paper proposes a framework for solving a class of nonlinear infinite- and finite-horizon optimal control problems with constraints. Establishment of existence and uniqueness of solutions to the Hamilton-Jacobi-Bellman (HJB) equation plays a crucial role in verifying well-posedness of a given problem and in streamlining numerical solutions. The proposed framework revolves around infinite-horizon Bolza-type cost functions with running costs exponentially decaying in time. We show \(\varGamma \)-convergence of solutions with such cost functions to the solutions of initial constrained (in)finite-horizon problems (that is, without running costs exponentially decaying in time). Basically, we demonstrate how to approximate solutions of (in)finite-horizon constrained optimal problems using our framework. Employing a solver based on the Pontryagin’s Principle, we efficiently obtain optimal solutions for finite- and infinite-horizon problems. Efficiency of the proposed framework is demonstrated in simulation by solving a 3D path planing problem with obstacles for a full nonlinear model of an autonomous underwater vehicle (AUV).
Ivana Palunko: All authors are with LARIAT—Laboratory of intelligent and autonomous systems.
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Acknowledgments
This work is supported by project SeaClear, European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871295.
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Appendix
Appendix
In order to make this paper as self-contained as possible and for the reader’s convenience, we establish some additional notation needed for this section. Let \(B_{r}(x)\) be the closed ball in \(\mathbb {R}^{k}\) of radius \(r > 0\) centered at \(x\in \mathbb {R}^{k}\). For a nonempty set \(C \subset \mathbb {R}^{k}\), we denote its convex hull by co(C).The negative polar cone of C is defined as \(C^{-} := \{p \in \mathbb {R}^{k} : \langle p,c\rangle \le 0 \text { for all } c\in C\}\). Denote the set distance from \(x\in \mathbb {R}^{k}\) to C by \(d_{C}(x) := \inf \{|x-y| :\; y\in C\}\).
For a nonempty set \(C \subset \mathbb {R}^{k}\), collection of nonempty subsets \(\{C_{w}\}_{w\in C_{2}}\), and \(w_{0}\in C_{2}\), let
and
For \(x \in \overline{C} \) define \(T_{C}(x) := \{v\in \mathbb {R}^{k}: \liminf \limits _{h\rightarrow 0^{+}}\;d_{A}(x+hv)/h = 0 \}\) and \(N_{C}(x) := \text {Lim} \sup \limits _{y\rightarrow C^{x}}T_{C}(y)^{-}\). Finally, denote the epigraph of a function \(\varphi \) as epi \(\varphi \).
Below we state the necessary assumptions and proposition required for the proof of Theorem 1.
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A1
For all \(x \in \mathbb {R}^{n}\), the mappings \(\tilde{f}(\cdot , x, \cdot )\) and \(\tilde{F}(\cdot , x, \cdot )\) are Lebesgue-Borel measurable and there exists \(\phi \in L^{1}([0,\infty );\mathbb {R})\) such that \(\tilde{F}(t,x,u)\ge \phi (t)\) for a.e. \(t \ge 0\) and all \((x,u) \in \mathbb {R}^{n}\times \mathbb {R}^{m}\).
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A2
There exists a function \(c \in L^{1}_{loc}([0,\infty ); \mathbb {R}^{+})\) such that for a.e. \(t \ge 0\) and for all \(x \in \mathbb {R}^{n},\; u \in U(t)\)
$$|\tilde{f}(t,x,u)| + |\tilde{F}(t,x,u)| \le c(t)(1+|x|).$$ -
A3
For a.e. \(t \ge 0\) and all \(x \in \mathbb {R}^{n}\), the set-valued map
$$y \rightarrow \{(\tilde{f}(t,y,u), \tilde{F}(t,y,u)): u\in U(t)\}$$is continuous with closed images, and the set
$$\{(\tilde{f}(t,x,u), \tilde{F}(t,x,u)+r): u \in U(t),\; r\ge 0 \}$$is convex.
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A4
There exists a function \(k \in L^{1}_{loc}([0,\infty ); \mathbb {R}^{+})\) such that for a.e. \(t\ge 0\) and for all \(x,y\in \mathbb {R}^{n},\; u \in U(t)\): \(|\tilde{f}(t,x,u) - \tilde{f}(t,y,u)| + |\tilde{F}(t,x,u)-\tilde{F}(t,y,u)| \le k(t)|x-y|.\)
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A5
\(k\in \mathscr {L}_{loc}\) and \(\limsup _{t\rightarrow \infty } \frac{1}{t}\int ^{t}_{0}(c(s)+k(s))ds < \infty .\)
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A6
There exists a function \(q\in \mathscr {L}_{loc}\) such that for a.e. \(t \ge 0\)
$$\sup \limits _{u\in U(t)}(|\tilde{f}(t,x,u)|+|\tilde{F}(t,x,u)|) \le q(t),\; \text {for all } x\in \partial C$$where \(C \subset \mathbb {R}^{n}\) is closed.
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A7
Let \(V: [0,\infty )\times C \rightarrow \mathbb {R}\cup \{\pm \infty \}\) be the value function of (8)–(9). Then assume Dom \(V \ne \varnothing \) and there exist \(T > 0\) and \(\psi \in L^{1}([T,\infty ); \mathbb {R}^{+})\) such that for all \((t_{0}, x_{0}) \in \text {Dom }V \cap ([T,\infty )\times \mathbb {R}^{n})\) and any feasible trajectory-control pair \((x(\cdot ), u(\cdot ))\) on \([t_{0}, \infty ),\) with \(x(t_{0}) = x_{0},\)
$$|\tilde{F}(t, x(t),u(t))| \le \psi (t)\text { for a.e. } t\ge t_{0}.$$ -
A8
There exist \(\eta ,\; r > 0\) and \(M \ge 0\) such that for a.e. \(t > 0\) and any \(y\in \partial C + \eta B_{1}({\textbf {0}}),\) and any \(v \in \tilde{f}(t,y,U(t)),\) with \(\inf \limits _{n\in N^{1}_{y,\eta }}\langle n,v \rangle \le 0,\) we can find \(w \in \tilde{f}(t,y,U(t))\cap B_{M}(v)\) satisfying
$$\inf _{n\in N^{1}_{y,\eta }}\{\langle n,w\rangle ,\; \langle n, w-v \rangle \}\ge r,$$where \(N^{1}_{y,\eta } := \{n \in \partial B_{1}({\textbf {0}}): n \in \overline{co}N_{C}(x),\; x \in \partial C\cap B_{\eta }(y)\}.\)
Proposition 2
(Theorem 3.3, [2]) Let \(W:[0,\infty ) \times C \rightarrow \mathbb {R}\cup \{+\infty \}\) be a lower semicontinuous function such that \(\text {Dom }V(t,\cdot )\subset \text {Dom }W(t,\cdot ) \ne \emptyset \) for all large \(t > 0\) and
Then the following statements are equivalent:
-
1.
W = V;
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2.
W is a weak (or viscosity) solution of HJB equation on \((0,\infty )\times C\) and \(t \rightarrow \text {epi }W(t,\cdot )\) is locally absolutely continuous.
In addition, V is the unique weak solution satisfying (25) with locally absolutely continuous \(t \rightarrow \text {epi }V(t,\cdot )\).
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Weston, J., Tolić, D., Palunko, I. (2023). Mixed Use of Pontryagin’s Principle and the Hamilton-Jacobi-Bellman Equation in Infinite- and Finite-Horizon Constrained Optimal Control. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-031-22216-0_12
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