Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic eq...

In this work, a dynamic-free adaptive sliding mode control (adaptive-SMC) methodology for the synchronization of specific class chaotic delayed fractional-order neural network systems in presence input saturation is proposed. By incorporating frequency distributed model (FDM) and fractional version Lyapunov stability theory, SMC designed to effectively overcome inherent behavior exhibited by FO...

A memristor is a kind of nonlinear electronic component. Parameter identification for memristive chaotic systems multi-dimensional variable optimization problem. It one the key issues in control and synchronization. To identify unknown parameters accurately quickly, we introduce, this paper, modified Pelican Optimization Algorithm (POA) called fractional-order Pareto (FPPOA). First, pelican pop...

Particle Swarm Optimization (PSO) is one of the most powerful algorithms for optimization. Traditional PSO algorithm tends to suffer from slow convergence and trapping into local optimum. In this paper, an improved PSO algorithm is proposed by combining dynamic fractional order technology and the wavelet mutation strategy. In the proposed method, a dynamic fractional order velocity update equat...

Swarm Intelligence (SI) is an innovative distributed intelligent paradigm whereby the collective behaviors of unsophisticated individuals interacting locally with their environment causing coherent functional global patterns to emerge. The intelligence emerges from a chaotic balance between individuality and sociality. The chaotic balances are a characteristic feature of the complex system. Thi...

-This paper deals with hybrid projective synchronization between a fractional order Volta chaotic system and Genesio Tesi chaotic system by using tracking control and stability theory of fractional order system. An effective controller is designed to synchronize these two systems. Numerical simulations have been done by using MATLAB. Numerical solutions via Grunwald-Letnikov method has been use...

differential steering of in-wheel electric vehicle provides the functions of both active steering and power assisted steering with the coupling control of force and displacement transfer characteristic of system. a collaborative optimization model of the differential power-assisted steering system of in-wheel electric vehicle is built, with steering economy as the main system optimization goal,...

Chaos in fractional-order Chua’s system with time-varying delays is illustrated by presenting its waveform graphs, states patriots and bifurcation graphs. Chaotic synchronization system for such system is constructed. the bifurcation graph with respect to the linear coupled parameter k is presented, and the numerical experiments are presented. The study shows that the chaos in such fractional-o...

This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...

In this paper, the Unified Power Flow Controller (UPFC) is enhanced with a Chaotic Particle Swarm Optimization (CPSO) Damping Controller in order to mitigate the Low Frequency Oscillations (LFO) in a Single Machine Infinite Bus (SMIB) power system. The designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...