The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework in which adaptive primitives learn and represent synergetic arm movements. A simple and fixed set of postural and oscillatory primitives form the substrate through which all control is elicited. Higher level adaptive p...

Synergetic neural network (SNN) is a top-down network to explain the phase transition and self-organization in non-equilibrium system. The network parameters have a crucial impact on the recognition performance of synergetic neural network. At present, there is no good way to control and adjust the network parameters. To solve these problems, an improved parameters optimization algorithm based ...

This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

Permanent magnet Synchronous machines (PMSM) provide high efficiency, compact size, robustness, lightweight, and low noise; these features qualify them as the best suitable machine for medical applications. Without forgetting its simple structure, high thrust, ease of maintenance, and controller feedback, make it possible to take the place of steam catapults in the future. This paper presents t...

The work carried out in this article essentially relates to the application of a synergetic control piezoelectric positioning mechanism or actuator (PEA). A LuGre model has been followed, capturing most physical phenomena, order be able follow realistic and representative possible. From model, which is then identified by particle swarm optimization (PSO), we apply technique, very efficient meth...

In this paper, a distributed synergetic control based on multi-agent systems is proposed to solve the problems of frequency and voltage errors, system stability and power sharing accuracy in the traditional droop control of microgrids. Starting with power flow equations, we build the secondary-order dynamic model of DG, which consists of three parts: (1) active power allocation; (2) active powe...