{"product_id":"neurodynamic-methods-for-continuum-robot-control-hardback-9781394402731","title":"Neurodynamic Methods for Continuum Robot Control (Hardback) 9781394402731","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNeurodynamic Methods for Continuum Robot Control\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eNing Tan (Author), Peng Yu (Author), Yunong Zhang (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394402731, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 5 June 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e240 pages\u003cbr\u003e22.9 x 15.2 x 1.7 cm, 0.446 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eExploration on how neurodynamic methods can be effectively applied to control complex, flexible robotic systems in research, and real-world settings\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eNeurodynamic Methods for Continuum Robot Control\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThis 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. \u003c\/p\u003e\n\u003cp\u003eWritten by a team of highly qualified authors with extensive experience in the field, this book includes information on: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eInherent challenges in modeling and controlling continuum robots, including model uncertainty, high dimensionality, and elastic deformation\u003c\/li\u003e\n\u003cli\u003eMathematical foundations of GND and ZND and the derivation and application of Jacobian-based and model-free kinematic control methods\u003c\/li\u003e\n\u003cli\u003eAdvanced neurodynamic models including predefined-time convergent, time-synchronized, and varying-parameter schemes\u003c\/li\u003e\n\u003cli\u003eHybrid intelligent methods such as fuzzy logic-enhanced neurodynamics and cerebellum-inspired architectures\u003c\/li\u003e\n\u003cli\u003eBenefits of neurodynamic control, including real-time performance, robustness, adaptability, and simplicity in deployment\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eDiscussing theory, design, and applications to deliver state-of-the-art research, \u003ci\u003eNeurodynamic Methods for Continuum Robot Control\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword xi\u003cbr\u003eAbout the Authors xiii\u003cbr\u003ePreface xv\u003cbr\u003eAcknowledgments xxi\u003cbr\u003eAcronyms xxii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Continuum Robots and Theoretical Foundations 3\u003c\/b\u003e\u003cbr\u003e1.1 Introduction 3\u003cbr\u003e1.2 Modeling Continuum Robots Using PCC 4\u003cbr\u003e1.3 Neurodynamic Models 6\u003cbr\u003e1.4 Chapter Summary 7\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Model-based Neurodynamic Methods 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Analytical-Jacobian-based Neurodynamic Control Methods 11\u003c\/b\u003e\u003cbr\u003e2.1 Introduction 11\u003cbr\u003e2.2 Model-based Kinematic Control 12\u003cbr\u003e2.3 Simulative Verification 21\u003cbr\u003e2.4 Chapter Summary 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Model-free Neurodynamic Methods 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Continuous-time Hybrid Neurodynamic Control Methods 29\u003c\/b\u003e\u003cbr\u003e3.1 Introduction 29\u003cbr\u003e3.2 Model-free Kinematic Control 31\u003cbr\u003e3.3 Simulative Verification 34\u003cbr\u003e3.4 Chapter Summary 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Discrete-time Neurodynamic Control Methods 43\u003c\/b\u003e\u003cbr\u003e4.1 Introduction 43\u003cbr\u003e4.2 Method 44\u003cbr\u003e4.3 Verification 48\u003cbr\u003e4.4 Chapter Summary 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Model- and Inverse-free Zeroing Neurodynamics Methods 57\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Quad Neurodynamic Control Methods 59\u003c\/b\u003e\u003cbr\u003e5.1 Introduction 59\u003cbr\u003e5.2 Preliminary 62\u003cbr\u003e5.3 Velocity-level Quad Neurodynamics 63\u003cbr\u003e5.4 Acceleration-level Quad Neurodynamics 67\u003cbr\u003e5.5 Verification of DQND4 73\u003cbr\u003e5.6 Verification of ADQN 75\u003cbr\u003e5.7 Chapter Summary 80\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Variants of Zeroing Neurodynamics Methods 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Nonlinearly Activated Zeroing Neurodynamic Control Methods 83\u003c\/b\u003e\u003cbr\u003e6.1 Introduction 83\u003cbr\u003e6.2 Variants of ZND Models 84\u003cbr\u003e6.3 Method 89\u003cbr\u003e6.4 Verification 91\u003cbr\u003e6.5 Chapter Summary 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Varying-parameter Zeroing Neurodynamic Control Methods 101\u003c\/b\u003e\u003cbr\u003e7.1 Introduction 101\u003cbr\u003e7.2 Preliminary 103\u003cbr\u003e7.3 Varying-parameter ZND Methods 104\u003cbr\u003e7.4 Recursive Least Square-aided Varying-parameter ZND Method 107\u003cbr\u003e7.5 Verification of VP-ZND-1 and VP-ZND-2 111\u003cbr\u003e7.6 Verification of ADVPEZND 114\u003cbr\u003e7.7 Chapter Summary 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Prescribed-performance Convergent Zeroing Neurodynamic Control Methods 119\u003c\/b\u003e\u003cbr\u003e8.1 Introduction 119\u003cbr\u003e8.2 Predefined-time Convergent Method 121\u003cbr\u003e8.3 PTS Method 126\u003cbr\u003e8.4 Prescribed-performance Control Method 134\u003cbr\u003e8.5 Verification of PTC-ZND 143\u003cbr\u003e8.6 Verification of PTS-ZND 148\u003cbr\u003e8.7 Verification of BPAC 149\u003cbr\u003e8.8 Chapter Summary 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI Enhancing Zeroing Neurodynamics Methods with Intelligent Algorithms 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Fuzzy-enhanced Zeroing Neurodynamic Control Method 165\u003c\/b\u003e\u003cbr\u003e9.1 Introduction 165\u003cbr\u003e9.2 Method 167\u003cbr\u003e9.3 Verification 170\u003cbr\u003e9.4 Chapter Summary 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Spiking Neural Network-enhanced Zeroing Neurodynamic Control Method 175\u003c\/b\u003e\u003cbr\u003e10.1 Introduction 175\u003cbr\u003e10.2 Preliminary 176\u003cbr\u003e10.3 LSM-based Control Scheme 179\u003cbr\u003e10.4 Verification 185\u003cbr\u003e10.5 Chapter Summary 186\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VII Neurodynamics-based Model-free Teleoperation Method 187\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Neurodynamics-based Teleoperation 189\u003c\/b\u003e\u003cbr\u003e11.1 Introduction 189\u003cbr\u003e11.2 Preliminary 190\u003cbr\u003e11.3 Method 191\u003cbr\u003e11.4 Verification 196\u003cbr\u003e11.5 Chapter Summary 198\u003c\/p\u003e \u003cp\u003eReferences 199\u003cbr\u003eIndex 215\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand 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