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Book ROBUST TRACKING IN NONLINEAR SYSTEMS AND ITS APPLICATION TO ROBOTICS

Download or read book ROBUST TRACKING IN NONLINEAR SYSTEMS AND ITS APPLICATION TO ROBOTICS written by and published by . This book was released on 1984 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Robust Tracking Control of Robot Manipulators

Download or read book Robust Tracking Control of Robot Manipulators written by Zhihua Qu and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together the latest research in the field, Robust Tracking Control of Robot Manipulators is the first book to provide systematic methods for stabilizing unwanted flexible, uncertain, and unmodeled dynamics. The authors present a thorough comparison of state-of-the-art and classical designs of all controls: linear or nonlinear (simple or complicated), conventional or robust, adaptive or learning. Focusing on control design and performance analysis, this book will help you to apply advanced controls effectively and to establish equivalent and different robustness. This book will be invaluable as a guide to researchers and practicing engineers in the field of robot control, automation, and robotic engineering. It will also serve as a useful reference for control of robot manipulators and mechanical-electrical systems.

Book Neural Network Control Of Robot Manipulators And Non Linear Systems

Download or read book Neural Network Control Of Robot Manipulators And Non Linear Systems written by F W Lewis and published by CRC Press. This book was released on 1998-11-30 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.

Book The Robust Tracking Control of Nonlinear Systems with Uncertain Dynamics

Download or read book The Robust Tracking Control of Nonlinear Systems with Uncertain Dynamics written by Dauchung Wang and published by . This book was released on 1987 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Robust Control of Nonlinear Uncertain Systems

Download or read book Robust Control of Nonlinear Uncertain Systems written by Zhihua Qu and published by Wiley-VCH. This book was released on 1998-04-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely work presents the definitive treatment of stability analysis and robust control design for nonlinear uncertain systems. While other books on the subject deal with robust control in linear systems, this is the first book to tackle robust control design for such nonlinear entities as power systems, robotics, and more. It combines examples, proofs, and applications-clearly showing how to build high performance and better control into systems that are too complex to be modeled accurately. A unique feature of this book is its Lyapunov-based approach to control design, which is the only universal approach for nonlinear systems. The Lyapunov direct method is used here to develop all design procedures, to correlate leading techniques in the field to the structural properties of uncertain systems, and to compare robust and nonrobust types of controls such as adaptive control, learning control, and optimal control. The subject is introduced with a self-contained treatment of the nonlinear stability theory originally proposed by Lyapunov and LaSalle. Emphasizing the basics, the introductory chapters incorporate three types of solutions, stability concepts, and various theorems. The main body of the text offers a comprehensive treatment for current design methods, including state space robust control designs, properties of various robust controllers, input-output control, and discrete robust control designs. In Robust Control of Nonlinear Uncertain Systems, author Zhihua Qu presents the complete set of control design procedures for nonlinear uncertain systems, including backward recurisve design, forward recursive design, recursive-interlacing design, feedback linearization, nonlinear optimal control, and sub-optimal control. Also featured here is the breakthrough recursive interlacing design that facilitates robust control for uncertain systems with all cascaded, feedback, and feedforward dynamics. Throughout, Professor Qu presents the pros and cons of specific methods, rationales for choosing particular design parameters,and tips on questions of stability, performance, and systems structure. For engineers and graduate students in mechanical, electrical, and aerospace engineering, Robust Control of Nonlinear Uncertain Systems imparts the technical know-how for effective design, explores key theoretical issues in control, and provides insight into future trends in the field.

Book Nonlinear Control of Vehicles and Robots

Download or read book Nonlinear Control of Vehicles and Robots written by Béla Lantos and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Control of Vehicles and Robots develops a unified approach to the dynamic modeling of robots in terrestrial, aerial and marine environments. The main classes of nonlinear systems and stability methods are summarized and basic nonlinear control methods, useful in manipulator and vehicle control, are presented. Formation control of ground robots and ships is discussed. The book also deals with the modeling and control of robotic systems in the presence of non-smooth nonlinearities. Robust adaptive tracking control of robotic systems with unknown payload and friction in the presence of uncertainties is treated. Theoretical and practical aspects of the control algorithms under discussion are detailed. Examples are included throughout the book allowing the reader to apply the control and modeling techniques in their own research and development work. Some of these examples demonstrate state estimation based on the use of advanced sensors as part of the control system.

Book Differential Neural Networks for Robust Nonlinear Control

Download or read book Differential Neural Networks for Robust Nonlinear Control written by Alexander S. Poznyak and published by World Scientific. This book was released on 2001 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.). Contents: Theoretical Study: Neural Networks Structures; Nonlinear System Identification: Differential Learning; Sliding Mode Identification: Algebraic Learning; Neural State Estimation; Passivation via Neuro Control; Neuro Trajectory Tracking; Neurocontrol Applications: Neural Control for Chaos; Neuro Control for Robot Manipulators; Identification of Chemical Processes; Neuro Control for Distillation Column; General Conclusions and Future Work; Appendices: Some Useful Mathematical Facts; Elements of Qualitative Theory of ODE; Locally Optimal Control and Optimization. Readership: Graduate students, researchers, academics/lecturers and industrialists in neural networks.

Book Robust Tracking Control of Robot Manipulators

Download or read book Robust Tracking Control of Robot Manipulators written by Zhihua Qu and published by . This book was released on 1996 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book How Can Robust Control of Nonlinear Systems be Achieved Examining Optimization Techniques

Download or read book How Can Robust Control of Nonlinear Systems be Achieved Examining Optimization Techniques written by Bhawna Tandon and published by GRIN Verlag. This book was released on 2019-10-18 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2019 in the subject Engineering - General, Basics, grade: A.00, , language: English, abstract: The following text examines the questions, how nonlinear system can better be controlled by new optimisation techniques such as feedback linearization. Due to the inevitable nonlinearities in real systems, several nonlinear control methods like feedback linearization, sliding mode control, backstepping approach and further modes are described in detail in the literature. Due to limitations in application of well known classical methods, researchers have struggled for decades to realize robust and practical solutions for nonlinear systems by proposing different approaches or improving classical control methods. The feedback linearization approach is a control method which employs feedback to stabilize systems containing nonlinearities. In order to accomplish this, it assumes perfect knowledge of the system model to linearize the input-output relationship. In the absence of perfect system knowledge, modelling errors inevitably affect the performanceof the feedback controller. Many researchers have come up with a new form of feedback linearization, called robust feedback. This method gives a linearizing control law that transforms the nonlinear system into its linear approximation around an operating point. Thus, it causes only a small transformation in the natural behavior of the system, which is desired in order to obtain robustness. The controllers are required to provide various time domain and frequency domain performances while maintaining sufficient stability robustness. In this regard, the evolutionary optimization techniques provide better option as these are probabilistic search procedures and facilitate inclusion of wide variety of time and frequency domain performance functionals in the objective functions. A significant scope of work remains to be done which provides motivation for the research in the design of robust controllers using evolutionary optimization. Also, emerging techniques using LMI also find potential in controller design for feedback linearized systems.The thrust of the study here is to design robust controllers for nonlinear systems using Evolutionary optimization and LMI. Furthermore, latest control methods for nonlinear system have been studied, deeply, in this thesis. Combining feedback linearization with non linear disturbance observer based control (NDOBC) obtains promising disturbance rejection and reference tracking performance as compared to other robust control methods.

Book Recent Advances in Robust Control

Download or read book Recent Advances in Robust Control written by Andreas Müller and published by BoD – Books on Demand. This book was released on 2011-11-21 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust control has been a topic of active research in the last three decades culminating in H_2/H_\infty and \mu design methods followed by research on parametric robustness, initially motivated by Kharitonov's theorem, the extension to non-linear time delay systems, and other more recent methods. The two volumes of Recent Advances in Robust Control give a selective overview of recent theoretical developments and present selected application examples. The volumes comprise 39 contributions covering various theoretical aspects as well as different application areas. The first volume covers selected problems in the theory of robust control and its application to robotic and electromechanical systems. The second volume is dedicated to special topics in robust control and problem specific solutions. Recent Advances in Robust Control will be a valuable reference for those interested in the recent theoretical advances and for researchers working in the broad field of robotics and mechatronics.

Book Disturbance Observer Based Control

Download or read book Disturbance Observer Based Control written by Shihua Li and published by CRC Press. This book was released on 2016-04-19 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applica

Book Control of Nonlinear Mechatronic Systems

Download or read book Control of Nonlinear Mechatronic Systems written by Enver Tatlicioglu and published by VDM Publishing. This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This research monograph is divided into four self-contained chapters. In Chapter 1, an adaptive nonlinear tracking controller for kinematically redundant robot manipulators is presented. Past research efforts have focused on the end-effector tracking control of redundant robots because of their increased dexterity over their non-redundant counterparts. This work utilizes an adaptive full-state feedback quaternion based controller developed in [1] and focuses on the design of a general sub-task controller. This sub-task controller does not affect the position and orientation tracking control objectives, but instead projects a preference on the configuration of the manipulator based on sub-task objectives such as the following: singularity avoidance, joint limit avoidance, bounding the impact forces, and bounding the potential energy. In Chapter 2, two controllers are developed for nonlinear haptic and teleoperator systems for coordination of the master and slave systems. The first controller is proven to yield a semi-global asymptotic result in the presence of parametric uncertainty in the master and the slave dynamic models provided the user and the environmental input forces are measurable. The second controller yields a global asymptotic result despite unmeasurable user and environmental input forces provided the dynamic models of the master and slave systems are known. These controllers rely on a transformation and a flexible target system to allow the master system's impedance to be easily adjusted so that it matches a desired target system. This work also offers a structure to encode a velocity field assist mechanism to provide the user help in controlling the slave system in completing a pre-defined contour following task. For each controller, Lyapunov-based techniques are used to prove that both controllers provide passive coordination of the haptic/teleoperator system when the velocity field assist mechanism is disabled. When the velocity field assist mechanism is enabled, the analysis proves the coordination of the haptic/teleoperator system. Simulation results are presented for both controllers. In Chapter 3, two controllers are developed for flat multi-input/multi-output nonlinear systems. First, a robust adaptive controller is proposed and proven to yield semi-global asymptotic tracking in the presence of additive disturbances and parametric uncertainty. In addition to guaranteeing an asymptotic output tracking result, it is also proven that the parameter estimate vector is driven to a constant vector. In the second part of the chapter, a learning controller is designed and proven to yield a semi-global asymptotic tracking result in the presence of additive disturbances where the desired trajectory is periodic. A continuous nonlinear integral feedback component is utilized in the design of both controllers and Lyapunov-based techniques are used to guarantee that the tracking error is asymptotically driven to zero. Numerical simulation results are presented for both controllers. In Chapter 4, a new dynamic model for continuum robot manipulators is derived. The dynamic model is developed based on the geometric model of extensible continuum robot manipulators with no torsional effects. The development presented in this chapter is an extension of the dynamic model proposed in [2] (by Mochiyama and Suzuki) to include a class of extensible continuum robot manipulators. First, the kinetic energy of a slice of the continuum robot is evaluated. Next, the total kinetic energy of the manipulator is obtained by utilizing a limit operation (i.e., sum of the kinetic energy of all the slices). Then, the gravitational potential energy of the manipulator is derived. Next, the elastic potential energy of the manipulator is derived for both bending and extension. Finally, the dynamic model of a planar 3-section extensible continuum robot manipulator is derived by utilizing the Lagrange representation. Numerical simulation results are presented for a planar 3-section extensible continuum robot manipulator."--Abstract pg 2

Book Dynamic Surface Control of Uncertain Nonlinear Systems

Download or read book Dynamic Surface Control of Uncertain Nonlinear Systems written by Bongsob Song and published by Springer Science & Business Media. This book was released on 2011-05-16 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems – DSC design, output feedback, input saturation and fault-tolerant control among them – are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux.