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  • Iterative Learning Control for Nonlinear Time-Delay System

    Series series Mathematics and Statistics (R0)
    This book focuses on adaptive iterative learning control problem for nonlinear time-delay systems.A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non ... Read more

    $143.09 USD

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  • Analysis and Synthesis of Fault-Tolerant Control Systems

    In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. ... Read more

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  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Edited by Frank L. Lewis, Derong Liu ...
    Series Book 17 - IEEE Press Series on Computational Intelligence
    Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, ... Read more

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  • Process Modelling and Model Analysis

    Series Book 4 - Process Systems Engineering
    Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models ... Read more

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  • Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

    In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the ... Read more

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  • Distributed Cooperative Control

    Emerging Applications

    by Yi Guo ...
    Examines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systemsProvides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative behaviors in man-made systemsDiscusses cooperative control methodologies using real-world ... Read more

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  • Control of Cutting Vibration and Machining Instability

    A Time-Frequency Approach for Precision, Micro and Nano Machining

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  • Blind Source Separation

    Theory and Applications

    A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studiesThe book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on ... Read more

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  • Machine Learning for Engineers

    Using data to solve problems for physical systems

    Series series Intelligent Technologies and Robotics (R0)
    All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies ... Read more

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    The 2012 Proceedings of the International Conference on Communications, Signal Processing, and Systems

    Series series Springer Nature Proceedings excluding Computer Science
    Communications, Signal Processing, and Systems is a collection of contributions coming out of the International Conference on Communications, Signal Processing, and Systems (CSPS) held August 2012. This book provides the state-of-art developments of Communications, Signal Processing, and Systems, and their interactions in multidisciplinary fields, such as audio and acoustic signal processing. The ... Read more

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