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Stochastic distribution control system design : a convex optimization approach
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ISBN: 1849960291 9786612837982 1849960305 1282837982 Year: 2010 Publisher: London : Springer-Verlag,

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Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances. An important recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of linear-matrix-inequality-based (LMI-based) convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. Stochastic Distribution Control System Design describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The book starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems. This monograph will be of interest to academic researchers in statistical, robust and process control, and FDD, process and quality control engineers working in industry and as a reference for graduate control students.  .

Keywords

Automatic control. --- Stochastic control theory. --- System design. --- Automatic control --- System design --- Stochastic control theory --- Engineering & Applied Sciences --- Mathematics --- Mechanical Engineering --- Applied Mathematics --- Mechanical Engineering - General --- Mathematical Statistics --- Physical Sciences & Mathematics --- Stochastic processes. --- Control engineering --- Control equipment --- Random processes --- Engineering. --- Chemical engineering. --- Computer mathematics. --- Probabilities. --- Applied mathematics. --- Engineering mathematics. --- Control engineering. --- Manufacturing industries. --- Machines. --- Tools. --- Appl.Mathematics/Computational Methods of Engineering. --- Computational Mathematics and Numerical Analysis. --- Probability Theory and Stochastic Processes. --- Control. --- Industrial Chemistry/Chemical Engineering. --- Manufacturing, Machines, Tools. --- Hand tools --- Handtools --- Hardware --- Implements, utensils, etc. --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Technology --- Mechanical engineering --- Motors --- Power transmission --- Industries --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Engineering --- Engineering analysis --- Mathematical analysis --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Chemistry, Technical --- Metallurgy --- Construction --- Industrial arts --- Curious devices --- Probabilities


Digital
Stochastic Distribution Control System Design : A Convex Optimization Approach
Authors: ---
ISBN: 9781849960304 9781849960335 9781849960298 9781447125594 Year: 2010 Publisher: London Springer

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Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances. An important recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of linear-matrix-inequality-based (LMI-based) convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. Stochastic Distribution Control System Design describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The book starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems. This monograph will be of interest to academic researchers in statistical, robust and process control, and FDD, process and quality control engineers working in industry and as a reference for graduate control students. .

Identification and stochastic adaptive control
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ISBN: 0817635971 3764335971 Year: 1991 Publisher: Boston : Birkhäuser,

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Book
Stochastic Distribution Control System Design : A Convex Optimization Approach
Authors: --- ---
ISBN: 9781849960304 9781849960335 9781849960298 9781447125594 Year: 2010 Publisher: London Springer London

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Abstract

Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances. An important recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of linear-matrix-inequality-based (LMI-based) convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. Stochastic Distribution Control System Design describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The book starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems. This monograph will be of interest to academic researchers in statistical, robust and process control, and FDD, process and quality control engineers working in industry and as a reference for graduate control students.  


Book
Wireless mobile communication and healthcare : 10th EAI international conference, MobiHealth 2021, virtual event, November 13-14, 2021, proceedings
Authors: --- ---
ISBN: 3031063686 3031063678 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
Eco-friendly corrosion inhibitors : principles, designing and applications
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ISBN: 0323998429 0323911765 9780323998420 9780323911764 Year: 2022 Publisher: Amsterdam : Elsevier,

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Eco-Friendly Corrosion Inhibitors: Principles, Designing, and Applications wraps up new developments in corrosion inhibitors and their current applications in real-life environments such as in strong acidic pickling and petroleum-based liquids. The book covers several types of environmentally-friendly corrosion inhibitors in detail. In addition, it highlights both established research and technology on industrial scale corrosion inhibitors and their rapidly emerging aspects and future research directions.


Book
2023 IEEE MTT-S International Wireless Symposium (IWS 2023) proceedings : May 14-17, 2023, Qingdao, Shandong, China, Crowne Plaza Qingdao Oriental Movie Metropolis
Authors: --- ---
ISBN: 9798350336535 9798350336542 Year: 2023 Publisher: Piscataway, NJ : IEEE,

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Book
Anti-corrosive nanomaterials
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ISBN: 9781003331124 1003331122 9781000935455 1000935450 9781000935509 1000935507 9781032362601 103236260X Year: 2024 Publisher: Boca Raton CRC Press

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Multi
Intelligent Autonomous Control of Spacecraft with Multiple Constraints
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ISBN: 9789819906819 9789819906802 9789819906826 9789819906833 Year: 2023 Publisher: Singapore Springer Nature

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This book explores the intelligent autonomous control problems for spacecraft with multiple constraints, such as pointing/path constraints, linear/angular velocity constraints, performance constraints, etc. It provides an almost self-contained presentation of dynamics modeling, controller design and analysis, as well as simulation studies. The book aims to offer a valuable guide for researchers and aerospace engineers to address the theoretical and technical difficulties in different applications, ranging from spacecraft attitude reorientation and tracking to spacecraft proximity operations, and is mainly intended for technical and engineering staff engaged in spacecraft dyanmics and control areas.


Multi
Wireless Mobile Communication and Healthcare : 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13-14, 2021, Proceedings
Authors: --- ---
ISBN: 9783031063688 9783031063671 9783031063695 Year: 2022 Publisher: Cham Springer International Publishing

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This book constitutes the refereed post-conference proceedings of the 10th International Conference on Mobile Communication and Healthcare, MobiHealth 2021, held in November 2021. Due to Covid-19 pandemic the conference was held virtually.

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