Abstract. The problem of synthesizing feedback controllers that perform sensing and actuation actions on non–uniform and uncertain discrete time domains is considered. This class...
Andrea Balluchi, Pierpaolo Murrieri, Alberto L. Sa...
We generalise the optimisation technique of dynamic programming for discretetime systems with an uncertain gain function. We assume that uncertainty about the gain function is des...
— This paper considers the application of the neural networks for the guaranteed cost control problem of discrete– time uncertain systems that have in both state and input dela...
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
In this paper, a robust adaptive controller for a class of nonlinear uncertain discrete-time systems is developed by combining the backstepping procedures with a simple parameter ...