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Model Predictive Control
  • Language: en
  • Pages: 405

Model Predictive Control

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

Model Predictive Control in the Process Industry
  • Language: en
  • Pages: 250

Model Predictive Control in the Process Industry

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Model Predictive Control
  • Language: en
  • Pages: 290

Model Predictive Control

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

The Smart Grid as an Application Development Platform
  • Language: en
  • Pages: 239

The Smart Grid as an Application Development Platform

  • Type: Book
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  • Published: 2017-08-31
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  • Publisher: Artech House

This authoritative new resource explores the power grid from its classical role as a utility or service provider towards its new role as an application development platform. This book gives insight into the vision, problems and solutions, and risks of the smart grid model. The evolution of the power grid as it develops into an application-centric environment is explained in this book. This resource guides readers to better understand the primary motivation of the smart grid, and to explore how new technologies are creating a cleaner and more sustainable ecosystem for new business models to blossom. Key topics include the basics of electricity and the conventional grid structure, as well as t...

Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
  • Language: en
  • Pages: 260

Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity.

Disturbance Observer for Advanced Motion Control with MATLAB / Simulink
  • Language: en
  • Pages: 292

Disturbance Observer for Advanced Motion Control with MATLAB / Simulink

A fulsome and robust presentation of disturbance observers complete with MATLAB sample programs and simulation results In Disturbance Observer for Advanced Motion Control with MATLAB/Simulink, distinguished electronics engineer Dr. Akira Shimada delivers a comprehensive exploration of the suppression of actual and unknown disturbances. In the book, you’ll find a systematic discussion of the basic theory and design methods of disturbance observers accompanied by instructive MATLAB and Simulink simulation examples. Included appendices cover the mathematical background of classical, modern, and digital control and ground the reader’s understanding of the more advanced sections. The included...

Business Dynamics Models
  • Language: en
  • Pages: 208

Business Dynamics Models

  • Type: Book
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  • Published: 2022-11-24
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  • Publisher: SIAM

This book introduces optimal control methods, formulated as optimization problems, applied to business dynamics problems. Business dynamics refers to a combination of business management and financial objectives embedded in a dynamical system model. The model is subject to a control that optimizes a performance index and takes both management and financial aspects into account. Business Dynamics Models: Optimization-Based One Step Ahead Optimal Control includes solutions that provide a rationale for the use of optimal control and guidelines for further investigation into more complex models, as well as formulations that can also be used in a so-called flight simulator mode to investigate dif...

Model-Based Reinforcement Learning
  • Language: en
  • Pages: 276

Model-Based Reinforcement Learning

Model-Based Reinforcement Learning Explore a comprehensive and practical approach to reinforcement learning Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory—optimal control and dynamic programming – or on algorithms—most of which are simulation-based. Model-Based Reinforcement Learning provides a model-based framework to bridge these two aspects, thereby creating a holistic treatment of the topic of model-based online learning co...

Silbo
  • Language: de
  • Pages: 60

Silbo

Selección de poemas en castellano traducidos al alemán, incorporando una colección de dibujos de Attilio Manzi.

El observador y otros relatos
  • Language: de
  • Pages: 324

El observador y otros relatos

Antología de veintinueve relatos resultado de una aguda observación de elementos y situaciones de la realidad cotidiana, que llegan por primera vez al lector europeo y le invitan a la reflexión.