This paper presents a novel teleoperation controller for a nonlinear master–slave robotic system with constant time delay in communication channel. The proposed controller enables the teleoperation system to compensate human and environmental disturbances, while achieving master and slave position coordination in both free motion and contact situation. The current work basically extends the pas...

To improve the safety and reliability of offshore structures subject to wave loading, active vibration control problem is always one significant issues in field ocean engineering. This paper deals with near–optimal a nonlinear energy sink (NES) mechanism. By taking dominant mode structure NES into account, dynamic model steel–jacket loading presented first. Then, using parameter perturbation ap...

This paper presents a robust, discrete, near time-optimal control algorithm for hard disk drives. Building on the continuous-time control law of Newman [Trans. Automatic Control 35 (7) (1990) 841] and Newman and Souccar [J. Dynamic Syst. Measure. Control 113 (1991) 363], the chattering phenomenon for continuous-time systems is first examined, and it is shown how additional chattering can occur ...

homogenous charge compression ignition (hcci) engines hold promise of high fuel efficiency and low emission levels for future green vehicles. but in contrast to gasoline and diesel engines, hcci engines suffer from lack of having direct means to initiate combustion. a combustion timing controller with robust tracking performance is the key requirement to leverage hcci application in production ...

An adaptive controller for the avoidance of an air combat missile utilizing a guidance law unknown to the target is introduced. The controls of the aircraft are determined at discrete instants using a receding horizon control scheme providing near-optimal feedback controls of the aircraft against a closing missile. The controls are optimized with respect to the expected final distance between t...

The paper presents a method for failure-free genetic algorithm optimization of a system controller. Genetic algorithms present a powerful tool that facilitates producing near-optimal system controllers. Applied to such methods of computational intelligence as neural networks or fuzzy logic, these methods are capable of combining the non-linear mapping capabilities of the latter with learning th...

The main objective of this paper is to introduce a new intelligent optimization technique that uses a predictioncorrection strategy supported by a recurrent neural network for finding a near optimal solution of a given objective function. Recently there have been attempts for using artificial neural networks (ANNs) in optimization problems and some types of ANNs such as Hopfield network and Bol...

friction is a nonlinear phenomenon which has destructive effects on performance of control systems. to obviate these effects, friction compensation is an effectual solution. in this paper, an adaptive technique is proposed in order to eliminate limit cycles as one of the undesired behaviors due to presence of friction in control systems which happen frequently. the proposed approach works for n...

This paper is concerned with the high-performance robust control of discrete-time linear time-invariant (LTI) systems with semi-algebraic uncertainty regions. It is assumed that a robustly stabilizing static controller is given whose gain depends polynomially on the uncertain variables. The problem of tuning this parameter-dependent gain with respect to a prescribed quadratic cost function is f...

In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...