This paper studies a reachable set estimation for systems with parameter uncertainties and known input. A new method is proposed for estimating real-time reachable sets of systems with parameter uncertainties, known input and non-zero initial condition. In order to reduce the effect of known inputs on the reachable set estimation, we propose a method by separating the uncertain systems into two subsystems: the subsystem with known input and the subsystem with parameter uncertainties. By solving the optimization problem in terms of linear matrix inequalities, real-time reachable sets are obtained. The effectiveness of the proposed method is illustrated by the simulation result of the lateral dynamic system of a vehicle.
This paper studies a reachable set estimation for systems with parameter uncertainties and known input. A new method is proposed for estimating real-time reachable sets of systems with parameter uncertainties, known input and non-zero initial condition. In order to reduce the effect of known inputs on the reachable set estimation, we propose a method by separating the uncertain systems into two subsystems: the subsystem with known input and the subsystem with parameter uncertainties. By solving the optimization problem in terms of linear matrix inequalities, real-time reachable sets are obtained. The effectiveness of the proposed method is illustrated by the simulation result of the lateral dynamic system of a vehicle.