Soft-Computing-Based Nonlinear Control Systems Design

Soft-Computing-Based Nonlinear Control Systems Design

Uday Pratap Singh, Akhilesh Tiwari, Rajeev Kumar Singh

Copyright: © 2018 |Pages: 388

ISBN13: 9781522535317|ISBN10: 1522535314|EISBN13: 9781522535324

DOI: 10.4018/978-1-5225-3531-7

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MLA

Singh, Uday Pratap, et al., editors. Soft-Computing-Based Nonlinear Control Systems Design. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3531-7

APA

Singh, U. P., Tiwari, A., & Singh, R. K. (Eds.). (2018). Soft-Computing-Based Nonlinear Control Systems Design. IGI Global. https://doi.org/10.4018/978-1-5225-3531-7

Chicago

Singh, Uday Pratap, Akhilesh Tiwari, and Rajeev Kumar Singh, eds. Soft-Computing-Based Nonlinear Control Systems Design. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3531-7

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A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems.

Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Computer and Electrical Engineering (ACEE) Book Series

Preface

Acknowledgment

Chapters

Chapter 1

Classification Techniques for Thunderstorms and Lightning Prediction: A Survey (pages 1-17)

Kanchan Bala, Dilip Kumar Choubey, Sanchita Paul, Mili Ghosh Nee Lala

Environmental disasters affect the economy, biodiversity, human life, and living organisms. Thunderstorms are one of such environmental disaster. By using proper methodology of forecasting thunderstorms, the adverse effects can be...

Chapter 2

Design of Semi-Active Seismic Vibration Controllers Using Fuzzy Logic and Evolutionary Optimization (pages 18-43)

Monica Patrascu

In the light of recent technological advances, semi-active structural damping systems for seismic vibration mitigation are considered part of the civil engineering design process. Various actuating devices have been integrated into...

Chapter 3

Co-Design Flow for Embedded Systems (MPSoC): Hybrid Model and Performance Estimation (pages 44-62)

Kamel Smiri, Nourhen Fourati

In this chapter, the authors explore the estimation of the performances in an earlier stage of (multi-processors system on chip) MPSoC design in which it is necessary to drive design space exploration and support important design...

Chapter 4

Analysis of Shunt Active Power Filter Using Adaptive Blanket Body Cover Algorithm (ABBC) in Aircraft System (pages 63-80)

Saifullah Khalid

A novel adaptive blanket body cover algorithm (ABBC) has been presented, which has been used for the optimization of conventional control scheme used in shunt active power filter. The effectiveness of the proposed algorithm has been...

Chapter 5

Lyapunov-Based Predictive Control Methodologies for Networked Control Systems (pages 81-111)

Constantin-Florin Caruntu

The problem considered in this chapter is to control a vehicle drivetrain in order to minimize its oscillations while coping with the time-varying delays introduced by the CAN communication network and the strict timing limitations....

Chapter 6

Modeling and Dynamic Surface Control of Uncertain Strict-Feedback Nonlinear Systems Using Adaptive Fuzzy Wavelet Network (pages 112-133)

Maryam Shahriari-Kahkeshi

This chapter proposes a new modeling and control scheme for uncertain strict-feedback nonlinear systems based on adaptive fuzzy wavelet network (FWN) and dynamic surface control (DSC) approach. It designs adaptive FWN as a...

Chapter 7

Performance Analysis of Nature-Inspired Algorithms-Based Bayesian Prediction Models for Medical Data Sets (pages 134-155)

Amit Kumar, Bikash Kanti Sarkar

Research in medical data prediction has become an important classification problem due to its domain specificity, voluminous, and class imbalanced nature. In this chapter, four well-known nature-inspired algorithms, namely genetic...

Chapter 8

Routing in Wireless Sensor Networks Using Soft Computing (pages 156-169)

Deepika Singh Kushwah, Deepika Dubey

Wireless sensor networks are the evolutionary self-organizing multi-node networks. Due to dynamic network conditions and stochastically varying network environments, routing in WSNs is critically affected and needs to be optimized....

Chapter 9

Study of Feature Apprehension Using Soft Computing Approaches (pages 170-190)

Deepika Dubey, Deepika Singh Kushwah, Deepanshu Dubey

An image may be mist full for the one or may be nostalgic for the other. But for a researcher, each image is distinguished on the basis of its low-level features like color, shape, size. Other features like edges, corner/interesting...

Chapter 10

Utility and Significance of Vague Set Theory and Advanced Optimization Mechanisms for Uncertainty Management (pages 191-219)

Sowkarthika B, Akhilesh Tiwari, R. K. Gupta, Uday Pratap Singh

In this digital world, tremendous data are generated in every field. Useful information is inferred out of this data, which is valuable for effective decision making. Data mining extracts the interesting information from huge volumes...

Chapter 11

Sizing and Placement of Battery-Sourced Solar Photovoltaic (B-SSPV) Plants in Distribution Networks (pages 220-251)

Abid Ali, Nursyarizal Mohd Nor, Taib Ibrahim, Mohd Fakhizan Romlie, Kishore Bingi

This chapter proposes a mixed-integer optimization using genetic algorithm (MIOGA) for determining the optimum sizes and placements of battery-sourced solar photovoltaic (B-SSPV) plants to reduce the total energy losses in...

Chapter 12

Fast Chaotic Encryption Using Circuits for Mobile and Cloud Computing: Investigations Under the Umbrella of Cryptography (pages 252-277)

Shalini Stalin, Priti Maheshwary, Piyush Kumar Shukla, Akhilesh Tiwari, Ankur Khare

In last few decades, a lot of work has been done in the field of cryptography; it is being considered one of the safe methods to protect data. It was first used to protect communication by individuals, armies, and organizational...

Chapter 13

Detection of Stator and Rotor Faults in Asynchronous Motor Using Artificial Intelligence Method (pages 278-285)

K. Vinoth Kumar, Prawin Angel Michael

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and...

Chapter 14

Soft Computing Approaches for Image Segmentation (pages 286-310)

Siddharth Singh Chouhan, Utkarsh Sharma, Uday Pratap Singh

In this chapter a review is done on the image segmentation techniques by using both traditional approaches and soft computing approaches. This chapter will figure out some soft computing approaches that can be used to solve the...

Chapter 15

An Innovative Design of RF Energy Harvester for Wireless Sensor Devices (pages 311-342)

Pankaj Agrawal, Akhilesh Tiwari, Uday Pratap Singh

Due to growing demand of energy, green technologies are highly attractive among researchers because of their non-conventional nature. Energy harvesting is one of their best parts. Very low cost of maintenance and non-polluting nature...

Back Materials

Compilation of References

About the Contributors

Index

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