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" Innovative techniques and applications of modelling, identification and control : "
Quanmin Zhu, Jing Na, Xing Wu, editors.
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BL
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| Record Number
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889104
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| Main Entry
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International Conference on Modelling, Identification, and Control(9th :2017 :, Kunming Shi, China)
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| Title & Author
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Innovative techniques and applications of modelling, identification and control : : selected and expanded reports from ICMIC' 17 /\ Quanmin Zhu, Jing Na, Xing Wu, editors.
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| Publication Statement
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Singapore :: Springer,, 2018.
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| Series Statement
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Lecture notes in electrical engineering,; volume 467
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1 online resource (ix, 453 pages) :: illustrations (some color)
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| ISBN
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9789811072116
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: 9789811072123
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: 9811072116
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: 9811072124
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9789811072116
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| Contents
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Intro; Preface; Contents; Hinfty Tracking Control for Unknown Nonlinear System Based on Augmented Matrix Algorithm; 1 Introduction; 2 Hinfty Tracking Problem; 3 Identifier NN Design; 4 System Augmentation and Hinfty Control Design; 4.1 System Augmentation; 4.2 HJI Equation; 4.3 Critic NN for Hinfty Control; 5 Simulation Results; 6 Conclusions; References; 2 A PSO-Based Integer Programming Solution to Impulsive-Correction Projectile Systems; Abstract; 1 Introduction; 2 Problem Statement; 2.1 Impulsive Control Dynamic Model; 2.2 Objective Function; 2.3 Flight Constraints.
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3 PSO-Based Integer Programming Design3.1 Basic PSO Method; 3.2 Modified PSO-Based Solution to Integer Programming System; 4 Experimental Simulation; 5 Conclusions; Acknowledgements; 3 Gas Plume Tracking of Micro-aerial Vehicle in Tunnel Environment; Abstract; 1 Introduction; 2 Aerial Vehicle System; 2.1 The Framework of Aerial Vehicle; 2.2 Ultrasonic Environment Perception System; 2.3 Gas Detection System; 2.4 Dynamic Modeling; 3 Flight Strategies; 3.1 Three-Dimensional Wall-Following Navigation Algorithm; 3.2 Gas Plume Tracking Algorithm; 3.3 Integration of Navigation Algorithms.
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3.3 Stage II. Monitoring and Diagnosis Based on Measurement Equipment4 The Development of Condition Monitoring and Fault Diagnosis Methods for Large Slewing Bearings; 4.1 Condition Monitoring and Fault Diagnosis Based on Vibration Analysis; 4.2 Condition Monitoring and Fault Diagnosis Based on AE Technique; 4.3 Condition Monitoring and Fault Diagnosis Based on Oil Condition; 4.4 Condition Monitoring and Fault Diagnosis Based on Temperature Variation; 5 Current Needs and Challenges of the Studies; 6 Conclusion; Acknowledgements; References.
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4 Experiment5 Conclusion; Acknowledgements; References; 4 A Review of Current Condition Monitoring and Fault Diagnosis Methods for Slewing Bearings; Abstract; 1 Introduction; 2 The Structural Features and the Main Faults of Large Slewing Bearings; 2.1 The Structural Features of Large Slewing Bearings; 2.2 The Main Faults of Large Slewing Bearings; 3 The Development of Condition Monitoring and Fault Diagnosis Methods for Large Slewing Bearings; 3.1 Stage I. Monitoring and Diagnosis Based on Human Experience; 3.2 Stage II. Monitoring and Diagnosis Based on Measurement Equipment.
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5 Research on Torque Optimization Allocation Strategy About Multi-wheel VehiclesAbstract; 1 Introduction; 1.1 Multi-wheel Drive Vehicle Dynamics Model; 1.2 Dynamic Optimization Distribution of Torque; 1.3 Dynamic Optimization Distribution of Control; 1.4 Optimization Algorithm; 1.5 Simulation Results and Analysis; 2 Models and Algorithm; 2.1 Suspension Dynamics Model; 2.2 Body Dynamics Model; 2.3 Dynamic Optimization Distribution of Torque; 2.4 Dynamic Optimization Distribution of Control; 2.5 Control Efficiency Matrix; 2.6 Optimize Objective Function; 2.6.1 Control Allocation Error.
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| Abstract
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This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC'17), held in Kunming, China on July 10-12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering.
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Automatic control, Congresses.
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Identification-- Data processing, Congresses.
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Simulation methods, Congresses.
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Automatic control.
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SCIENCE-- System Theory.
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Simulation methods.
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TECHNOLOGY ENGINEERING-- Operations Research.
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| Dewey Classification
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003/.3
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| LC Classification
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T57.62
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| Added Entry
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Na, Jing
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Wu, Xing
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Zhu, Quanmin
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| Parallel Title
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ICMIC'17
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