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    Neurodynamic Methods for Continuum Robot Control

    AvNing Tan,Peng Yu

    Inbunden, Engelska, 2026

    1 622 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Exploration on how neurodynamic methods can be effectively applied to control complex, flexible robotic systems in research, and real-world settings Neurodynamic Methods for Continuum Robot Control presents a comprehensive exploration of neurodynamic control methods for continuum robots—a new generation of soft, flexible robotic systems inspired by nature. The book is organized into seven thematic parts and eleven chapters, progressing from fundamental analytical techniques to advanced hybrid and adaptive control systems. After the introduction chapter, each chapter includes detailed theoretical derivations, algorithm design, and extensive validation through simulations and physical experiments. This book explores how continuum robots are controlled effectively and robustly in real time, without requiring complex modeling or extensive data training. The solution explored throughout this book is a suite of neurodynamic control algorithms, which offer a powerful alternative to traditional model-based and learning-based approaches. These neurodynamic methods—particularly gradient neurodynamics (GND) and zeroing neurodynamics (ZND)—allow for fast, adaptive, and model-free solutions to inverse kinematics and trajectory tracking problems. Written by a team of highly qualified authors with extensive experience in the field, this book includes information on: Inherent challenges in modeling and controlling continuum robots, including model uncertainty, high dimensionality, and elastic deformationMathematical foundations of GND and ZND and the derivation and application of Jacobian-based and model-free kinematic control methodsAdvanced neurodynamic models including predefined-time convergent, time-synchronized, and varying-parameter schemesHybrid intelligent methods such as fuzzy logic-enhanced neurodynamics and cerebellum-inspired architecturesBenefits of neurodynamic control, including real-time performance, robustness, adaptability, and simplicity in deploymentDiscussing theory, design, and applications to deliver state-of-the-art research, Neurodynamic Methods for Continuum Robot Control is an essential resource on the subject for researchers, graduate students, and advanced practitioners—not only a technical reference, but also a visionary guide to the future of intelligent robotics.

    Produktinformation

    • Utgivningsdatum:2026-06-05
    • Mått:152 x 229 x 14 mm
    • Vikt:494 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:240
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394402731

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Systemvetenskap och AI inom Data och IT

    Mer om författaren

    Ning Tan is an Associate Professor at Sun Yat-sen University, China. He is a Senior Member of IEEE. His research interests include continuum robotics, bioinspired design, and intelligent control. Peng Yu is a PhD Candidate at Sun Yat-sen University, China. He is a graduate student member of IEEE. Yunong Zhang is a Professor at Sun Yat-sen University, China. He is a Senior Member of IEEE, and his research interests lie in automation, robotics, neurodynamics, computation, and optimization.

    Innehållsförteckning

    • Foreword xiAbout the Authors xiiiPreface xvAcknowledgments xxiAcronyms xxiiPart I Introduction 11 Introduction to Continuum Robots and Theoretical Foundations 31.1 Introduction 31.2 Modeling Continuum Robots Using PCC 41.3 Neurodynamic Models 61.4 Chapter Summary 7Part II Model-based Neurodynamic Methods 92 Analytical-Jacobian-based Neurodynamic Control Methods 112.1 Introduction 112.2 Model-based Kinematic Control 122.3 Simulative Verification 212.4 Chapter Summary 26Part III Model-free Neurodynamic Methods 273 Continuous-time Hybrid Neurodynamic Control Methods 293.1 Introduction 293.2 Model-free Kinematic Control 313.3 Simulative Verification 343.4 Chapter Summary 414 Discrete-time Neurodynamic Control Methods 434.1 Introduction 434.2 Method 444.3 Verification 484.4 Chapter Summary 54Part IV Model- and Inverse-free Zeroing Neurodynamics Methods 575 Quad Neurodynamic Control Methods 595.1 Introduction 595.2 Preliminary 625.3 Velocity-level Quad Neurodynamics 635.4 Acceleration-level Quad Neurodynamics 675.5 Verification of DQND4 735.6 Verification of ADQN 755.7 Chapter Summary 80Part V Variants of Zeroing Neurodynamics Methods 816 Nonlinearly Activated Zeroing Neurodynamic Control Methods 836.1 Introduction 836.2 Variants of ZND Models 846.3 Method 896.4 Verification 916.5 Chapter Summary 997 Varying-parameter Zeroing Neurodynamic Control Methods 1017.1 Introduction 1017.2 Preliminary 1037.3 Varying-parameter ZND Methods 1047.4 Recursive Least Square-aided Varying-parameter ZND Method 1077.5 Verification of VP-ZND-1 and VP-ZND-2 1117.6 Verification of ADVPEZND 1147.7 Chapter Summary 1178 Prescribed-performance Convergent Zeroing Neurodynamic Control Methods 1198.1 Introduction 1198.2 Predefined-time Convergent Method 1218.3 PTS Method 1268.4 Prescribed-performance Control Method 1348.5 Verification of PTC-ZND 1438.6 Verification of PTS-ZND 1488.7 Verification of BPAC 1498.8 Chapter Summary 161Part VI Enhancing Zeroing Neurodynamics Methods with Intelligent Algorithms 1639 Fuzzy-enhanced Zeroing Neurodynamic Control Method 1659.1 Introduction 1659.2 Method 1679.3 Verification 1709.4 Chapter Summary 17410 Spiking Neural Network-enhanced Zeroing Neurodynamic Control Method 17510.1 Introduction 17510.2 Preliminary 17610.3 LSM-based Control Scheme 17910.4 Verification 18510.5 Chapter Summary 186Part VII Neurodynamics-based Model-free Teleoperation Method 18711 Neurodynamics-based Teleoperation 18911.1 Introduction 18911.2 Preliminary 19011.3 Method 19111.4 Verification 19611.5 Chapter Summary 198References 199Index 215