For hybrid systems in which control consists of selection from a discrete finite set of modes, a somewhat unfamiliar formulation is needed for analysis of the possibility of closed loop (feedback) control. We are here concerned to examine the desiderata for such feedback from the viewpoint of descriptive modeling of implementation in a PDE context. A principal result is global existence, in an ...

This paper presents a uniied systematic framework for designing dynamic feedback controllers for nonlinear systems described by Takagi-Sugeno (T-S) models. Both stabilization and multi-objective control synthesis problems have been addressed. The control laws are in the form of so-called dynamic parallel distributed compensation (DPDC) which are essentially nonlinear dynamic feedback controller...

cerebral palsy is a term commonly used for conditions characterized by motor dysfunction due to non-progressive brain damage in early life. the aim of this study was to compare the effects of self-control and experimental-control feedback frequencies on the acquisition, retention and transfer of a throwing task in children with spastic cerebral palsy. from 1750 students with cerebral palsy in t...

A series of large-scale experimental tests is conducted on a mass equipped with a hybrid controlled base-isolation system that consists of rolling pendulum system (RPS) and a 20 kN magnetorheological (MR) damper. The 12-ton mass and its hybrid isolation system are subjected to various intensities of nearand far-fault earthquakes on a large shake table. Fuzzy controllers use feedback from displa...

This paper discusses the issue of using haptic devices with limited workspaces in large immersive virtual environments. In other words, we try to answer to the following question: how to go beyond the physical limitations of the force-feedback device and reach distant virtual objects that are located outside the mechanical workspace of the device? We describe in this paper two interaction techn...

Hybrid robotic systems represent a novel research field, where functional electrical stimulation (FES) is combined with a robotic device for rehabilitation of motor impairment. Under this approach, the design of robust FES controllers still remains an open challenge. In this work, we aimed at developing a learning FES controller to assist in the performance of reaching movements in a simple hyb...

This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...