Santiago J. Leudo, Francesco Ferrante, Ricardo G. Sanfelice
Competent, rigorous but incremental extension of the authors' own hybrid-game framework to set-valued dynamics, with sufficiency-only results and limited validation.
In this paper, we formulate a two-player zero-sum game under dynamic constraints defined in terms of a hybrid inclusion. The game consists of a min-max problem involving a cost functional that depends on the actions and corresponding (potentially non-unique) solutions, defined as functions of hybrid time and, hence, can flow or jump. We present sufficient conditions given in terms of Hamilton-Jacobi-Isaacs-like equations to establish a bound and to exactly evaluate the worst-case cost under the optimal strategy. Under additional conditions, we show that the proposed optimal state-feedback laws render a set of interest pre-asymptotically stable for the resulting hybrid closed-loop system. The results are illustrated in an application with sporadic jumps and linear quadratic hybrid dynamics.
The paper extends two-player zero-sum hybrid games (Leudo & Sanfelice, Automatica 2026) to hybrid inclusions, where flow and jump maps are set-valued and solutions are not unique. Nonuniqueness makes the cost of a given input ill-defined, so the authors define the cost as the supremum over maximal solutions (the worst case). They then introduce a "weak" feedback saddle-point equilibrium. Their results are:
The main novelty is the relaxation of solution uniqueness and the "weak" equilibrium notion. This is a modest, natural generalization of the authors' own previous work and of the Bernstein/Ferrante–Sanfelice cost-evaluation line.
The proofs follow the standard telescoping Lyapunov argument along hybrid time domains, and the logic is mostly sound for sufficiency results. There are some concerns:
The numerical evidence is a single scalar example plus a Riccati corollary. Corollary 7.1 itself contains no numerical test, and the linear-quadratic case is single-valued. The set-valued example is simple enough to be solved nearly by hand.
The audience is narrow: the hybrid-systems control community (Sanfelice, Goebel, Teel framework), with some reach into robust and H∞-type control, security, and cyber-physical systems with intermittent communication. The results are sufficient conditions requiring a known value function, so applicability depends on constructing V. This is feasible mainly for linear-quadratic structure, where the hybrid Riccati result is useful as a design tool for robust control with random-interval jumps. Set-valued dynamics widen the model class (uncertainty, nondeterministic resets, differential inclusions). No computational method is provided, such as numerical HJI solvers or learning approaches.
Games on hybrid dynamics are of moderate interest, given adversarial CPS security and robust control, but the paper is an incremental journal consolidation of conference papers (CDC 2020, ACC 2024) with complete proofs. It does not address a major current bottleneck.
Reproducibility is moderate: the scalar example gives its parameters, and the Riccati equation is explicit. No code is mentioned. The paper is mathematically standard for the hybrid-systems community, with moderate technical difficulty. There is no refutation of prior claims. It supersedes earlier conference versions rather than independently replicating anything.
Generated Nov 4, 2026
Competent, rigorous but incremental extension of the authors' own hybrid-game framework to set-valued dynamics, with sufficiency-only results and limited validation.