abstract in this paper, a fuzzy pid with new structure is proposed to solve the load frequency control in interconnected power systems. in this study, a new structure and effective of the fuzzy pid-type load frequency control (lfc) is proposed to solve the load frequency control in interconnected power systems. the main objective is to eliminate the deviations in the frequency of different area...

A control strategy is introduced. The tasks in the agenda are organized hierarchically, such that, in general, only tasks in the same level are allowed to compete with each other. KEY tasks with highest priority are also introduced to maintain the flexibility of control. This concept has been applied to a medical diagnosis expert system MDM, and it is implemented on UNIVAC 1100/10. The result i...

Consider the generalized controller design problem in Figure 1 where P denotes the generalized plant model. Here, the objective is to design the controller K, which, based on the sensed outputs v, computes the inputs (MVs) u such that the variables z are kept small, in spite of variations in the variables w, which include disturbances (d), varying setpoints/references (CVs) and measurement nois...

A novel decentralized variable structure neural control approach for large-scale uncertain systems is developed using Recurrent High Order Neural Networks (RHONN). It is assumed that each subsystem belongs to a class of block-controllable nonlinear systems whose vector fields includes interconnections terms. The interconnection terms are bounded by nonlinear functions. A decentralized RHONN str...

Research on musical timbre typically seeks representations of the perceptual structure inherent in a set of sounds that have implications for expressive control over the sounds in composition and performance. With digital analysis-based sound synthesis and with experiments on tone quality perception, we can obtain representations of sounds that suggest ways to provide low-dimensional control ov...

In this paper we introduce a novel approach to continual planning and control, called Dynamics Based Control (DBC). The approach is similar in spirit to the Actor-Critic [6] approach to learning and estimation-based differential regulators of classical control theory [13]. However, DBC is not a learning algorithm, nor can it be subsumed within models of standard control theory. We provide a gen...