Dynamic adaptation has been an essential requirement for more and more business systems. Some research works have focused on the structural or behavioral changes of adaptive progr...
— The real time flexible operation of a car-like mobile robot with nonholonomic constraints in dynamic environment is still a very challenging problem. The difficulty lies in t...
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
— For cognitive radio networks, a popular approach to dynamic spectrum allocation (DSA) is game theoretic, which improves spectrum efficiency in a distributed manner. In a doubl...
Modern vehicles possess an increasing number of software and hardware components that are integrated in electronic control units (ECUs). Finding an optimal allocation for all comp...