Intentional behavior is a basic property of intelligence and it incorporates the cyclic operation of prediction, testing by action, sensing, perceiving, and assimilating the exper...
Robert Kozma, Terry Huntsberger, Hrand Aghazarian,...
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
—Control design of Self-servo Track Writer (SSTW) has become an important issue in Hard Disk Drive research. This paper discusses the error propagation problem in SSTW control. A...
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Numerous computational and deductive frameworks use the notion of strategy to guide reduction and search space exploration, making the macro scale control of micro operations an ex...