We study the lowest achievablemean square estimation error in two limiting optimal linear filtering problems. First, when the intensity of the process noise tends to zero, the lowest achievable mean square estimation error is a function of the unstable poles of the system. Second, when the intensity of the measurement noise tends to zero, the lowest achievable mean square estimation error is a ...

Microparticles have the potentials to be used for many medical purposes in-side human body such as drug delivery and other operations. This paper attempts provide a thorough comparison between five meta-heuristic search algorithms: Sparrow Search Algorithm (SSA), Flower Pollination (FPA), Slime Mould (SMA), Marine Predator (MPA), Multi-Verse Optimizer (MVO). These approaches were calculate PID ...

In this paper, the path following controller of an omnidirectional mobile robot (OMR) has been extended in such a way that the forward velocity has been optimized and the actuator velocity constraints have been taken into account. Both have been attained through the proposed model predictive control (MPC) framework. The forward velocity has been included into the objective function, while the a...

This paper puts forth the notion that explicitly speciied transition bands have been introduced in the lter design literature in part as an indirect approach for dealing with discontinu-ities in the desired frequency response. We suggest that the use of explicitly speciied transition bands is sometimes inappropriate because, to satisfy a meaningful optimality criterion, their use implicitly ass...

Error correction is an integral part of any communication system and for this purpose, the convolution codes are widely used as forward error correction codes. For decoding of convolution codes, at the receiver end Viterbi Decoder is being employed. The parameters of Viterbi algorithm can be changed to suit a specific application. The high speed and small area are two important design parameter...

The authors present an algorithm for order reduction of linear time invariant dynamic systems using the combined advantages of the eigen spectrum analysis and the error minimization by particle swarm optimization technique. Pole centroid and system stiffness of both original and reduced order systems remain same in this method to determine the poles, whereas zeros are synthesized by minimizing ...

The authors present an optimization algorithm for order reduction and its application for the determination of the relative mapping errors of linear time invariant dynamic systems by the simplified models. These relative mapping errors are expressed by means of the relative integral square error criterion, which are determined for both unit step and impulse inputs. The reduction algorithm is ba...

Abstract -This paper presents a generalized model for load frequency control (LFC) design in a hybrid multi-area deregulated power system including physical constraints. Renewable energy source named doubly fed induction generator (DFIG) based wind energy source is integrated into the system that provides the modified emulating inertial control and reduces the deviations in frequency and tie-li...

A maiden effort for optimal tuning of load frequency controller parameters using Artificial Cooperative Search (ACS) algorithm for a two area interconnected power system with AC-DC parallel tie-lines has been presented in this paper. ACS is a recent swarm intelligence algorithm developed for solving numerical optimization problems. The swarm intelligence philosophy behind ACS algorithm is based...

The performance of self-tuning and a variety of conventional control strategies are examined when applied to the overhead product composition control of a packed distillation column. These control strategies are tested under various sets of conditions on a packed distillation column situated B.P. Chemicals, South Wales, U.K. Conventional PID control action is employed throughout-being considere...