Decentralized constructive collision avoidance for Multi-Agent dynamical systems

International audienceThis paper describes the principles of a decentralized framework for the guaranteed collision avoidance of Multi-Agent dynamical systems sharing a common working space. The results are constructive and can be effective in the certification of mission safety. The geometric aspects of the collision avoidance problem are exploited to define the control policies. The main contributions are related to the optimization-based decentralized feedback control which renders a so-called functioning zone controlled invariant. An illustrative example is analyzed in order to highlight the effectiveness of the proposed approaches

Further Results on the Linear Constrained Regulation Problem

International audienceThe problem of constrained regulation of linear systems around an equilibrium situated in the interior of a domain of attraction has been extensively investigated. In many engineering problems however, like obstacle avoidance problems, the regulation around an equilibrium situated on the boundary of the domain of attraction is necessary. For this kind of problems, the classical methods cannot be applied and design control methods are missing. Using invariant set techniques, the present paper proposes design methods for guaranteeing convergence to an equilibrium situated on the boundary of the feasible region, all by respecting the state constraints. A collision avoidance numerical example is presented for illustrating the theoretical results of the paper