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|a 9789811580451
|9 978-981-15-8045-1
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|a 10.1007/978-981-15-8045-1
|2 doi
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|a Intelligent Algorithms for Analysis and Control of Dynamical Systems
|h [electronic resource] /
|c edited by Rajesh Kumar, V. P. Singh, Akhilesh Mathur.
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| 250 |
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|a 1st ed. 2021.
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| 264 |
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1 |
|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2021.
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| 300 |
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|a XIII, 197 p. 116 illus., 93 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Algorithms for Intelligent Systems,
|x 2524-7573
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| 505 |
0 |
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|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 forWater Pollutant Monitoring using ANN And Fuzzy Logic. .
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| 520 |
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|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.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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0 |
|a Algorithms.
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| 650 |
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0 |
|a Control engineering.
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| 650 |
1 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Algorithms.
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| 650 |
2 |
4 |
|a Control and Systems Theory.
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| 700 |
1 |
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|a Kumar, Rajesh.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Singh, V. P.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Mathur, Akhilesh.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
|
|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789811580444
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789811580468
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789811580475
|
| 830 |
|
0 |
|a Algorithms for Intelligent Systems,
|x 2524-7573
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-15-8045-1
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| 912 |
|
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|a ZDB-2-INR
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| 912 |
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|a ZDB-2-SXIT
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
|