Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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. .

Operational research. Game theory --- Probability theory --- Mathematics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Plant and equipment --- Production management --- Chemical technology --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- fabrieken --- toegepaste wiskunde --- waarschijnlijkheidstheorie --- stochastische analyse --- BIT (biochemische ingenieurstechnieken) --- automatisering --- computers --- economie --- informatica --- productie --- wiskunde --- machines --- ingenieurswetenschappen --- kansrekening --- chemische technologie --- automatische regeltechniek

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.  

Operational research. Game theory --- Probability theory --- Mathematics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Plant and equipment --- Production management --- Chemical technology --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- fabrieken --- toegepaste wiskunde --- waarschijnlijkheidstheorie --- stochastische analyse --- BIT (biochemische ingenieurstechnieken) --- automatisering --- computers --- economie --- informatica --- productie --- wiskunde --- machines --- ingenieurswetenschappen --- kansrekening --- chemische technologie --- automatische regeltechniek

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Corrosion and anti-corrosives --- Environmental aspects. --- Chemical inhibitors --- Chemistry, Technical --- Fouling --- Materials --- Metals --- Weathering --- Paint --- Protective coatings --- Waterproofing --- Anti-corrosive paint --- Atmospheric corrosion --- Metal corrosion --- Rust --- Rustless coatings --- Deterioration --- Surfaces --- Corrosion --- Metallurgy. --- Oxygen --- Chemical engineering --- Ores --- Smelting --- Industrial applications --- Corrosion and anti-corrosives.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Space research --- Astronomy --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Air traffic --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- mechatronica --- astronauten --- industriële robots --- automatisering --- engineering --- luchtvaart --- ruimtevaart --- robots --- automatische regeltechniek --- Constraints (Artificial intelligence) --- Intelligent agents (Computer software)