Particle swarm optimization (PSO) is extensively used for real parameter in diverse fields of study. This paper describes an application PSO to the problem designing a fractional-order proportional-integral-derivative (PI <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">lambda</sup> D xmlns:xlink="http://www.w3.org/1999/xlink">delta</sup> ) controller whose parameters comprise proportionality constant, integral derivative order (lambda) and...

This paper presents hardware architecture to perform the basic arithmetic operation addition using cellular automata (CA). age old problem of were previously solved by ripple circuit or carry look ahead a combination them. Each these circuits is purely combinational in nature and their complexity centered on number logic gates associated gate delays. On contrary, our CA based design mainly clock cycles required finish computation instead

Particle swarm optimization (PSO) is extensively used for real parameter in diverse fields of study. This paper describes an application PSO to the problem designing a fractional-order proportional-integral-derivative (FOPID) controller whose parameters comprise proportionality constant, integral derivative order (lambda) and (delta). The presence five optimizable makes task FOPID more challenging than conventional PID design. Our design method focuses on minimizing Integral Time Absolute...

The self-tuning regulators form an important sub-class of adaptive controllers. This paper introduces a novel scheme for designing fractional order regulator. Original designs all the sub-modules regulator are proposed. particle swarm optimization algorithm is utilized online identification parameters dynamic process while subsequent tuning controller performed by differential evolution. Results show that proposed both precise and robust.

The limited availability of channel resources offers a bottleneck on the allocation channels to subscribers in wireless mobile communication systems. This paper provides novel technique for dynamic assignment cellular networks by constructing suitable objective function, optimization which yields solution problem. function has been optimized using particle swarm (PSO) algorithm. proposed scheme studied with six typical benchmarks, available literature, and results are promising. For...

Of the many definitions for fractional order differintegral, Grunwald-Letnikov definition is arguably most important one. The necessity of this description and analysis systems cannot be overstated. Unfortunately, Fractional Order Differential Equation (FODE) describing such a systems, in its original form, highly sensitive to effects random noise components inevitable natural environment. Thus direct application real-life problem can yield erroneous results. In article, we perform an...

This contribution deals with identification of fractional-order dynamical systems. System identification, which refers to estimation process parameters, is a necessity in control theory. Real processes are usually fractional order as opposed the ideal integral models. A simple and elegant scheme estimating parameters for such proposed. method employs calculus theory find equations relating that be estimated, then estimates after solving simultaneous equations. The said generated updated...

Dynamics of a nonlinear cellular automaton (CA) is, in general asymmetric, irregular, and unpredictable as opposed to that linear CA, which is highly systematic tractable, primarily due the presence matrix handle. In this paper, we present novel technique studying properties State Transition Diagram uniform one‐dimensional terms its deviation from suggested model. We have considered mainly elementary automata with neighborhood size three, and, order facilitate our analysis, classified...

The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order controller synthesis based on peak overshoot and rise-time specifications. Our approach construct an objective function, the optimization which yields possible solution design problem. This function optimized using two popular...

Global dynamics of a non-linear Cellular Automata is, in general irregular, asymmetric and unpredictable as opposed to that linear CA, which is highly systematic tractable. In the past efforts have been made systematize CA evolutions light Boolean derivatives Jacobian Matrices. this paper two different made: first we try evolution deviant states non-deviant states. For all nearest rule matrix applicable where for set other matrices. Second using algebraic manipulation, an efficient algorithm...

This paper deals with application of Artificial Neural Network (ANN) for Radar Clutter rejection, function approximation method supervised ANN is applied here using back propagation algorithm.The database used training and testing the has been collected from simulating a moving vehicle in MATALAB(version 7.9) to obtain RCS values at range cross-range profiles.This work validated by comparing received signal after clutter rejection no condition.

In this paper MTI filter based clutter rejection technique is presented.How ability increases with the increase in Delay line canceleres structure shown here.Feedback path response of a and using feedback four different types recursive filters are designed tested for Radar rejection.Matlab (7.9) used as simulation platform.

We present a simple theoretical framework, and corresponding practical procedures, for comparing probabilistic models on real data in traditional machine learning setting. This framework is based the theory of proper scoring rules, but requires only basic algebra probability to understand verify. The concepts presented are well-studied, primarily statistics literature. goal this paper advocate their wider adoption performance evaluation empirical learning.

The technological advancement in wireless communication has evolved the futuristic concept of smart cities, wherein objects will be intelligent sense that they can communicate among each other and take decision. cities ensure increased road safety, traffic mobility, sustain environment by means vehicle. vehicles should equipped with simultaneous sensing technologies to enable for mobility. This requires joint operation radar without interference. aim paper is develop an integrated radio...

This contribution proposes a simple yet elegant scheme for identifying fractional-order dynamic system based on its observed response to standard excitation. If the fractional powers in transfer function are precisely known, set of simultaneous linear equations connecting unknown coefficient values is obtained and then solved deterministically yield desired estimates. In case uncertain, these estimated by formulating an optimisation problem employing stochastic search algorithm. Results show...

We study learning in a noisy bisection model: specifically, Bayesian algorithms to learn target value V given access only realizations of whether is less than or greater threshold theta. At step t = 0, 1, 2, ..., the learner sets theta and observes realization sign(V - t). After T steps, goal output an estimate V^ which within eta-tolerance . This problem has been studied, predominantly environments with fixed error probability q < 1/2 for In practice, it often case that can approach 1/2,...

System identification is important in science and engineering. This contribution proposes a simple yet elegant scheme for identifying fractional order dynamic system based on its observed response to standard excitation. Our approach consists obtaining solving set of simultaneous linear equations connecting the parameters yield desired estimates. To minimise effect noise, we have performed an in-depth analysis Grunwald-Letnikov definition and, as far know, are first ones do so. Results show...