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Two New Extensions to L1 Adaptive Control Theory

Two New Extensions to L1 Adaptive Control Theory PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Two New Extensions to L1 Adaptive Control Theory

Two New Extensions to L1 Adaptive Control Theory PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Extension of L1 Adaptive Control with Applications

Extension of L1 Adaptive Control with Applications PDF Author: Jiaxing Che
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages :

Book Description
Adaptive control is the control method used by a controller which adapt to a system with unknown or varying parameters. As a newly developed technique, L1 adaptive control has drawn increased attention in past decades. The key feature of L1 adaptive control architecture is guaranteed robustness in the presence of fast adaptation. With L1 adaptive control architecture, fast adaptation appears to be beneficial both for performance and robustness, while the trade-off between the two is resolved via the selection of the underlying filtering structure. The latter can be addressed via conventional methods from classical and robust control. Moreover, the performance bounds of L1 adaptive control architectures can be analyzed to determine the extent of the modeling of the system that is required for the given set of hardware. The main contribution of this dissertation is to extend the framework of L1 adaptive control theory and applied in various of applications. It can be summarized with 3 different parts: The first one is the extension of L1 adaptive to time-varying system and non-minimum phase system by using eigenvalue assignment method. This approach has been demonstrated by both theoretical models as well as high fidelity models such as flexible wing aircraft model from NASA and also the supersonic glider model developed from the supersonic lab in Austria. The 2nd part focuses on filter bandwidth adaptation in the L1 adaptive control architecture. The stability condition of the low-pass filter in control is relaxed by introducing an additional Lyapunov-based adaptation mechanism which results in a more systematic design with minimized tuning efforts. Adaptability for arbitrarily large nonlinear time-varying uncertainties without redesign parameters. The overall system is a non-LTI design even in the limiting case. The 3rd part introduces the concept of predictive horizon and online optimization into L1 adaptive control. This approach enables L1 adaptive control to solve the output limitation even for the non-minimum phase system.

L1 Adaptive Control Theory

L1 Adaptive Control Theory PDF Author: Naira Hovakimyan
Publisher: SIAM
ISBN: 0898719372
Category : Science
Languages : en
Pages : 334

Book Description
This book presents a comprehensive overview of the recently developed L1 adaptive control theory, including detailed proofs of the main results. The key feature of the L1 adaptive control theory is the decoupling of adaptation from robustness. The architectures of L1 adaptive control theory have guaranteed transient performance and robustness in the presence of fast adaptation, without enforcing persistent excitation, applying gain-scheduling, or resorting to high-gain feedback.

Advances in Intelligent and Autonomous Aerospace Systems

Advances in Intelligent and Autonomous Aerospace Systems PDF Author: John Valasek
Publisher: AIAA (American Institute of Aeronautics & Astronautics)
ISBN: 9781600868979
Category : Technology & Engineering
Languages : en
Pages : 520

Book Description
Research advances in embedded computational intelligence, communication, control, and new mechanisms for sensing, actuation, and adaptation hold the promise to transform aerospace. The result will be air and space vehicles, propulsion systems, exploration systems, and vehicle management systems that respond more quickly, provide large-scale distributed coordination, work in dangerous or inaccessible environments, and augment human capabilities. Advances in Intelligent and Autonomous Aerospace Systems seeks to provide both the aerospace researcher and the practicing aerospace engineer with an exposition on the latest innovative methods and approaches that focus on intelligent and autonomous aerospace systems. The chapters are written by leading researchers in this field, and include ideas, directions, and recent results on intelligent aerospace research issues with a focus on dynamics and control, systems engineering, and aerospace design. The content on uncertainties, modeling of large and highly non-linear complex systems, robustness, and adaptivity is intended to be useful in both the sub-system and the overall system level design and analysis of various aerospace vehicles.A broad spectrum of methods and approaches are presented, including: * Bio-Inspiration * Fuzzy Logic * Genetic Algorithms * Q-Learning * Markov Decision Processes * Approximate Dynamic Programming * Artificial Neural Networks * Probabilistic Maps * Multi-Agent Systems * Kalman, particle, and confidence filtering

L1 Adaptive Control for Nonlinear and Non-square Multivariable Systems

L1 Adaptive Control for Nonlinear and Non-square Multivariable Systems PDF Author: Hanmin Lee
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Robust Adaptive Control

Robust Adaptive Control PDF Author: Petros Ioannou
Publisher: Courier Corporation
ISBN: 0486320723
Category : Technology & Engineering
Languages : en
Pages : 850

Book Description
Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.

Robust and Adaptive Control

Robust and Adaptive Control PDF Author: Eugene Lavretsky
Publisher: Springer Science & Business Media
ISBN: 1447143965
Category : Technology & Engineering
Languages : en
Pages : 506

Book Description
Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.

Advances in Aerospace Guidance, Navigation and Control

Advances in Aerospace Guidance, Navigation and Control PDF Author: Qiping Chu
Publisher: Springer Science & Business Media
ISBN: 3642382533
Category : Technology & Engineering
Languages : en
Pages : 773

Book Description
Following the successful 1st CEAS (Council of European Aerospace Societies) Specialist Conference on Guidance, Navigation and Control (CEAS EuroGNC) held in Munich, Germany in 2011, Delft University of Technology happily accepted the invitation of organizing the 2nd CEAS EuroGNC in Delft, The Netherlands in 2013. The goal of the conference is to promote new advances in aerospace GNC theory and technologies for enhancing safety, survivability, efficiency, performance, autonomy and intelligence of aerospace systems using on-board sensing, computing and systems. A great push for new developments in GNC are the ever higher safety and sustainability requirements in aviation. Impressive progress was made in new research fields such as sensor and actuator fault detection and diagnosis, reconfigurable and fault tolerant flight control, online safe flight envelop prediction and protection, online global aerodynamic model identification, online global optimization and flight upset recovery. All of these challenges depend on new online solutions from on-board computing systems. Scientists and engineers in GNC have been developing model based, sensor based as well as knowledge based approaches aiming for highly robust, adaptive, nonlinear, intelligent and autonomous GNC systems. Although the papers presented at the conference and selected in this book could not possibly cover all of the present challenges in the GNC field, many of them have indeed been addressed and a wealth of new ideas, solutions and results were proposed and presented. For the 2nd CEAS Specialist Conference on Guidance, Navigation and Control the International Program Committee conducted a formal review process. Each paper was reviewed in compliance with good journal practice by at least two independent and anonymous reviewers. The papers published in this book were selected from the conference proceedings based on the results and recommendations from the reviewers.

Model Free Adaptive Control

Model Free Adaptive Control PDF Author: Zhongsheng Hou
Publisher: CRC Press
ISBN: 1466594195
Category : Computers
Languages : en
Pages : 396

Book Description
Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and ou

Adaptive Control

Adaptive Control PDF Author: Shankar Sastry
Publisher: Courier Corporation
ISBN: 0486482022
Category : Technology & Engineering
Languages : en
Pages : 402

Book Description
This volume surveys the major results and techniques of analysis in the field of adaptive control. Focusing on linear, continuous time, single-input, single-output systems, the authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development. 1989 edition.