Computer-aided Nonlinear Control System Design, Amir Nassirharand
Автор: Dierk Schr?der; D. Schr?der; U. Lenz; M. Beuschel; Название: Intelligent Observer and Control Design for Nonlinear Systems ISBN: 3642083463 ISBN-13(EAN): 9783642083464 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This application-oriented monograph focuses on a novel and complex type of control systems. Written on an engineering level, including fundamentals, advanced methods and applications, the book applies techniques originating from new methods such as artificial intelligence, fuzzy logic, neural networks etc.
Автор: Qiang Lu; Yuanzhang Sun; Shengwei Mei Название: Nonlinear Control Systems and Power System Dynamics ISBN: 1441948856 ISBN-13(EAN): 9781441948854 Издательство: Springer Рейтинг: Цена: 25848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Colin D. Tebbutt Название: Expert Aided Control System Design ISBN: 1447121066 ISBN-13(EAN): 9781447121060 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to concentrate more on the creativity aspect of the design.
This book presents a novel, generalized approach to the design of nonlinear state feedback control laws for a large class of underactuated mechanical systems based on application of the block backstepping method. The control law proposed here is robust against the effects of model uncertainty in dynamic and steady-state performance and addresses the issue of asymptotic stabilization for the class of underactuated mechanical systems.
An underactuated system is defined as one for which the dimension of space spanned by the configuration vector is greater than that of the space spanned by the control variables. Control problems concerning underactuated systems currently represent an active field of research due to their broad range of applications in robotics, aerospace, and marine contexts.
The book derives a generalized theory of block backstepping control design for underactuated mechanical systems, and examines several case studies that cover interesting examples of underactuated mechanical systems. The mathematical derivations are described using well-known notations and simple algebra, without the need for any special previous background in higher mathematics. The chapters are lucidly described in a systematic manner, starting with control system preliminaries and moving on to a generalized description of the block backstepping method, before turning to several case studies. Simulation and experimental results are also provided to aid in reader comprehension.
Описание: This text presents a general nonlinear control design methodology for nonlinear uncertain dynamical systems. Specifically, a hierarchical nonlinear switching control framework is developed that provides an alternative to gain scheduling control for general nonlinear uncertain systems.
Описание: Quantitative Feedback Design of Linear and Nonlinear Control Systems is a self-contained book dealing with the theory and practice of Quantitative Feedback Theory (QFT).
Автор: Rush D. Robinett III; David G. Wilson Название: Nonlinear Power Flow Control Design ISBN: 1447171446 ISBN-13(EAN): 9781447171447 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nonlinear Powerflow Control Design presents an innovative control system design process. The text compares the value of different energy resources, presents a new tool for power flow control, and examines the human factors involved with selling power into a distributed, decentralized electric power grid.
Автор: Alessandro Astolfi; Lorenzo Marconi Название: Analysis and Design of Nonlinear Control Systems ISBN: 3642093787 ISBN-13(EAN): 9783642093784 Издательство: Springer Рейтинг: Цена: 33401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: System Analysis.- Smooth Distributions Are Globally Finitely Spanned.- Uniformly Universal Inputs.- System Interconnection.- Reduced Order Modeling of Nonlinear Control Systems.- Optimization Methods.- Nonholonomic Trajectory Optimization and the Existence of Twisted Matrix Logarithms.- The Hamilton-Jacobi Type Equations for Nonlinear Target Control and Their Approximation.- Causal Coding of Markov Sources with Continuous Alphabets.- Pseudospectral Optimal Control and Its Convergence Theorems.- Feedback Design.- Event Based Control.- Zero Dynamics and Tracking Performance Limits in Nonlinear Feedback Systems.- A Nonlinear Model for Combustion Instability: Analysis and Quenching of the Oscillations.- Convexification of the Range-Only Station Keeping Problem.- Control of Hydraulic Devices, an Internal Model Approach.- Hybrid Zero Dynamics of Planar Bipedal Walking.- Regulation.- Hybrid Systems: Limit Sets and Zero Dynamics with a View Toward Output Regulation.- Essential and Redundant Internal Models in Nonlinear Output Regulation.- Two Global Regulators for Systems with Measurable Nonlinearities and Unknown Sinusoidal Disturbances.- A Taxonomy for Time-Varying Immersions in Periodic Internal-Model Control.- Paving the Way Towards the Control of Wireless Telecommunication Networks.- Nonlinear Synchronization of Coupled Oscillators: The Polynomial Case.- Geometric Methods.- Disturbance Decoupling for Open Quantum Systems: Quantum Internal Model Principle.- Controller and Observer Normal Forms in Discrete-Time.- A Geometric Approach to Dynamic Feedback Linearization.- Asymptotic Analysis.- The Steady-State Response of a Nonlinear Control System, Lyapunov Stable Attractors, and Forced Oscillations.- Model Reduction by Moment Matching for Linear and Nonlinear Systems.- Adaptive Control of Nonlinear Systems with Unknown Parameters by Output Feedback: A Non-Identifier-Based Method.- Hybrid Feedback Stabilization of Nonlinear Systems with Quantization Noise and Large Delays.
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