Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Lyapunov-Krasowskii functionals are used to design quantized continuous-time control laws for nonlinear systems in the presence of time-invariant pointwise delays in the input. Th...
Mutation analysis is a widely-adopted strategy in software testing with two main purposes: measuring the quality of test suites, and identifying redundant code in programs. Simila...
This paper describes the software package DSPNexpress 2000, a tool for the quantitative evaluation of systems specified in stochastic Petri nets, the Unified Modeling Language (UM...
Abstract— This paper proposes a novel robust output feedback controller for an electromechanical system in the presence of external disturbance and uncertainties of physical para...