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Intelligent algorithms for analysis ...

Kumar, Rajesh.

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Intelligent algorithms for analysis and control of dynamical systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent algorithms for analysis and control of dynamical systems/ edited by Rajesh Kumar, V. P. Singh, Akhilesh Mathur.
other author:	Kumar, Rajesh.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xiii, 197 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Improving Transient Response of Cuk Converters Using Artificial Neural Network Based Controller -- Chapter 2. Global Best Guided Crow Search Algorithm for Optimization Problems -- Chapter 3. Artificial Intelligent based Sliding mode Controller for State Feedback Discrete-time System -- Chapter 4.A Comparative Study of Four Genetic Algorithm based Crossover Operators for Solving Travelling Salesman Problem -- Chapter 5. Modified Eigen Permutation Based Model Simplification of LTI Systems using Evolutionary Algorithm -- Chapter 6. A Mixed Approach for Model Reduction Using Differential Evolution and Eigen Permutation -- Chapter 7. Simulation Studies of Inverted Pendulum Based on VSC Using Whale Optimization Algorithm -- Chapter 8. Vision Based Fault Detection and Parameter Identification for Flight Control Law Reconfiguration -- Chapter 9. Development of Hardware-in-the-Loop Test Bench for Automation of After-Treatment Control Systems Tests -- Chapter 10. Intelligent Control System for Water Pollutant Monitoring using ANN And Fuzzy Logic.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-8045-1
ISBN:	9789811580451

Intelligent algorithms for analysis and control of dynamical systems
Intelligent algorithms for analysis and control of dynamical systems[electronic resource] /edited by Rajesh Kumar, V. P. Singh, Akhilesh Mathur. - Singapore :Springer Singapore :2021. - xiii, 197 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Chapter 1. Improving Transient Response of Cuk Converters Using Artificial Neural Network Based Controller -- Chapter 2. Global Best Guided Crow Search Algorithm for Optimization Problems -- Chapter 3. Artificial Intelligent based Sliding mode Controller for State Feedback Discrete-time System -- Chapter 4.A Comparative Study of Four Genetic Algorithm based Crossover Operators for Solving Travelling Salesman Problem -- Chapter 5. Modified Eigen Permutation Based Model Simplification of LTI Systems using Evolutionary Algorithm -- Chapter 6. A Mixed Approach for Model Reduction Using Differential Evolution and Eigen Permutation -- Chapter 7. Simulation Studies of Inverted Pendulum Based on VSC Using Whale Optimization Algorithm -- Chapter 8. Vision Based Fault Detection and Parameter Identification for Flight Control Law Reconfiguration -- Chapter 9. Development of Hardware-in-the-Loop Test Bench for Automation of After-Treatment Control Systems Tests -- Chapter 10. Intelligent Control System for Water Pollutant Monitoring using ANN And Fuzzy Logic.

This book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.

ISBN: 9789811580451

Standard No.: 10.1007/978-981-15-8045-1doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342 / .I58 2021

Dewey Class. No.: 006.3

Intelligent algorithms for analysis and control of dynamical systems
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245 0 0 $a Intelligent algorithms for analysis and control of dynamical systems $h [electronic resource] / $c edited by Rajesh Kumar, V. P. Singh, Akhilesh Mathur.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xiii, 197 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7565
505 0 $a Chapter 1. Improving Transient Response of Cuk Converters Using Artificial Neural Network Based Controller -- Chapter 2. Global Best Guided Crow Search Algorithm for Optimization Problems -- Chapter 3. Artificial Intelligent based Sliding mode Controller for State Feedback Discrete-time System -- Chapter 4.A Comparative Study of Four Genetic Algorithm based Crossover Operators for Solving Travelling Salesman Problem -- Chapter 5. Modified Eigen Permutation Based Model Simplification of LTI Systems using Evolutionary Algorithm -- Chapter 6. A Mixed Approach for Model Reduction Using Differential Evolution and Eigen Permutation -- Chapter 7. Simulation Studies of Inverted Pendulum Based on VSC Using Whale Optimization Algorithm -- Chapter 8. Vision Based Fault Detection and Parameter Identification for Flight Control Law Reconfiguration -- Chapter 9. Development of Hardware-in-the-Loop Test Bench for Automation of After-Treatment Control Systems Tests -- Chapter 10. Intelligent Control System for Water Pollutant Monitoring using ANN And Fuzzy Logic.
520 $a This book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.
650 0 $a Computational intelligence. $3 595739
650 0 $a Dynamics. $3 519830
650 0 $a Control theory. $3 535880
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Algorithms. $3 536374
650 2 4 $a Control and Systems Theory. $3 3381515
700 1 $a Kumar, Rajesh. $3 1264204
700 1 $a Singh, V. P. $3 690332
700 1 $a Mathur, Akhilesh. $3 3487067
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Algorithms for intelligent systems. $3 3443393
856 4 0 $u https://doi.org/10.1007/978-981-15-8045-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)