Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis, Theilliol
Автор: Brunton, Steven L. (university Of Washington) Kutz Название: Data-driven science and engineering ISBN: 1009098489 ISBN-13(EAN): 9781009098489 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
Автор: Quan Ouyang, Jian Chen Название: Advanced Model-Based Charging Control for Lithium-Ion Batteries ISBN: 9811970580 ISBN-13(EAN): 9789811970580 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, the most state-of-the-art advanced model-based charging control technologies for lithium-ion batteries are explained from the fundamental theories to practical designs and applications, especially on the battery modelling, user-involved, and fast charging control algorithm design. Moreover, some other necessary design considerations, such as battery pack charging control with centralized and distributed structures, are also introduced to provide excellent solutions for improving the charging performance and extending the lifetime of the batteries/battery packs. Finally, some future directions are mentioned in brief. This book summarizes the model-based charging control technologies from the cell level to the battery pack level. From this book, readers interested in battery management can have a broad view of modern battery charging technologies. Readers who have no experience in battery management can learn the basic concept, analysis methods, and design principles of battery charging systems. Even for the readers who are occupied in this area, this book also provides rich knowledge on engineering applications and future trends of battery charging technologies.
Описание: As an African woman leader who has grown up on the African soil, Joyce Banda, Malawi`s first female president and Africa`s second, has seen firsthand how young rural girls face obstacles in areas that are critical in shaping their future. This book makes the case of how gender interventions should and can be started from day one. For we cannot to leave any girl behind.
Автор: Adel Haghani Abandan Sari Название: Data-Driven Design of Fault Diagnosis Systems ISBN: 3658058064 ISBN-13(EAN): 9783658058067 Издательство: Springer Рейтинг: Цена: 11101.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process.
Описание: The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.
Описание: This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical.
Diagnosis and Fault-tolerant Control 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.
Автор: Wang Название: Model-Based Fault Diagnosis ISBN: 9811967059 ISBN-13(EAN): 9789811967054 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.
Описание: This book discusses Moore finite state machines (FSMs) implemented with field programmable gate arrays (FPGAs) including look-up table (LUT) elements and embedded memory blocks (EMBs).
Автор: Sorin Olaru; Alexandra Grancharova; Fernando Lobo Название: Developments in Model-Based Optimization and Control ISBN: 3319266853 ISBN-13(EAN): 9783319266855 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.- Part I. Complexity and Structural Properties of Linear Model Predictive Control.- 1. Complexity Certifications of First Order Inexact Lagrangian Methods for General Convex Programming: Application to Real-time MPC.- 2. Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings.- 3. Implications of Inverse Parametric Optimization in Model Predictive Control.- Part II. Distributed-coordinated and Multi-objective Features of Model Predictive Control.- 4. Distributed Robust Model Predictive Control of Interconnected Polytopic Systems.- 5. Optimal Distributed-Coordinated Approach for Energy Management in Multisource Electric Power Generation Systems.- 6. Evolutionary-game-based Dynamical Tuning for Multi-objective Model Predictive Control.- Part III. Collaborative Model Predictive Control.- 7. A Model Predictive Control-based Architecture for Cooperative Path-following of Multiple Unmanned Aerial Vehicles.- 8. Predictive Control for Path Following. From Trajectory Generation to the Parameterization of the Discrete Tracking Sequences.- 9. Formation Reconfiguration using Model Predictive Control Techniques for Multi-Agent Dynamical Systems.- Part IV. Applications of Optimization-based Control and Identification.- 10. Optimal Operation of a Lumostatic Microalgae Cultivation Process.- 11. Bioprocesses Parameter Estimation by Heuristic Optimization Techniques.- 12. Real-time Experimental Implementation of Predictive Control Schemes in a Small-scale Pasteurization Plant.- Part V. Optimization-based Analysis and Design for Particular Classes of Dynamical Systems.- 13. An Optimization-based Framework for Impulsive Control Systems.- 14. Robustness Issues in Control of Bilinear Discrete-Time Systems - Applied to the Control of Power Converters.- 15. On the LPV Control Design and its Applications to Some Classes of Dynamical Systems.- 16. Ultimate Bounds and Robust Invariant Sets for Linear Systems with State-dependent Disturbances.- 17. RPI Approximations of the mRPI Set Characterizing Linear Dynamics with Zonotopic Disturbances.
Описание: This book discusses the developments in the advanced control and intelligent automation for complex systems completed over the last two decades, including the progress in advanced control theory and method, intelligent control and decision-making of complex metallurgical processes, intelligent systems and machine learning, intelligent robot systems design and control, and prediction and control technology for renewable energy. With the depth and breadth of coverage of this book, it serves as a useful reference for engineers in the field of automation and complex process control and graduate students interested in advanced control theory and computational intelligence as well as their applications to the complex industrial processes. This book offers an up-to-date overview of this active research area. It provides readers with the state-of-the-art methods for advanced control and intelligent automation for complex systems
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