nuclear power reactors are, in nature nonlinear and time varying. these characteristics must be considered, if large power variations occur in their working regime. in this paper a robust optimal gain scheduling controller for regulating the power of a nuclear reactor has been designed and simulated. the proposed controller is capable of regulating power levels in a wide power range (10% to 100...

in this paper, a new control method based on fel electro hydraulic servo control withnonlinear flux and internal friction, has been presented. the new approach based oncontrollers combined by a classic pd controller and a fuzzy controller is smart. this newtechnique has a good ability to control the performance and stability. simulations have beencarried out in matlab environment and the result...

A novel nonlinear fractional order sliding mode controller is proposed to control the chaotic atomic force microscope system in presence of uncertainties and disturbances. In the design of the suggested fractional order controller, conformable fractional order derivative is applied. The stability of the scheme is proved by means of the Lyapunov theory based on conformable fractional order deriv...

this paper presents a sensorless system drive on primary flux oriented control (pfoc) and secondary flux oriented control (sfoc) for the linear induction motor (lim) with taking into account end effect. extended kalman filter (ekf) is applied to estimate lim speed by measuring motor voltages and currents. in order to achieve desirable dynamic and robustness motor performance instead of traditio...

in this paper, an observer based fuzzy adaptive controller (fac) is designed fora class of large scale systems with non-canonical non-affine nonlinear subsystems. it isassumed that functions of the subsystems and the interactions among subsystems areunknown. by constructing a new class of state observer for each follower, the proposedconsensus control method solves the problem of unmeasured sta...

In its most general form, interconnection networks are a central component of all computing and communication systems from the internal interconnects of chip-scale embedded architectures to geographic-scale systems such as wide area networks and the internet. This section focuses on interconnection networks as they are used in multiprocessor and multicore systems. Specifically, the section addr...

This paper deals with the application of Iterative Learning Control (ILC) to further improve the performance of teleoperation systems based on Smith predictor. The goal is to achieve robust stability and optimal transparency for these systems. The proposed control structure make the slave manipulator follow the master in spite of uncertainties in time delay in communication channel and model pa...

this paper proposes a novel robust control scheme based on delay-dependent h∞for unified power quality conditioner (upqc) in a microgrid under the influence of the delay and parameter uncertainties. a new upqc model considering the effects of the delay and parameter uncertainties is established. then, the h∞ controller is designed based on the cone complementarity linearization (ccl) algorithm....