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This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in one book. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for graduate students, practicing engineers and researchers interested in modeling and control of processes. This well written and easily understandable book includes a broad spectrum of methods for the analysis and design of control systems in a very thorough way. The book includes solved multitude of practical applications, examples, exercises and unsolved problems at the end of each chapter as well as Matlab tools which are freely available at the web page of the book. "This is an impressive book really worth to be published. I do not know of any modern textbook including such a broad spectrum of classical and modern methods for analysis and synthesis of control systems not being represented superficially but very thoroughly" Heinz Unbehauen, Bochum University.

Process control --- Chemical process control --- Mathematical models. --- Chemical process control -- Mathematical models. --- Process control -- Mathematical models. --- Industrial & Management Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Mathematical models --- Control of industrial processes --- Industrial process control --- Engineering. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Vibration, Dynamical Systems, Control. --- Automatic control --- Manufacturing processes --- Quality control --- Cycles --- Mechanics --- Sound --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Systems theory. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków – in the chapter four – is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) – a relatively new method of environmental impact assessment – which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes. Moreover, real input and output data of selected processes under uncertainty, mainly used in the LCA technique, have been examined. The last chapter of this monograph contains final summary. The log-normal probability distribution, widely used in risk analysis and environmental management, in order to develop a stochastic analysis of the LCA, as well as uniform distribution for stochastic approach of pollution transport in porous media has been proposed. The distributions employed in this monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment.

Ecology. --- Electric engineering. --- Environmental management. --- Environmental sciences. --- Process control -- Mathematical models. --- Process control -- Statistical methods. --- Statistics. --- Stochastic analysis --- Manufacturing processes --- Ecology --- Earth & Environmental Sciences --- Mathematics --- Physical Sciences & Mathematics --- Environmental Sciences --- Mathematical Statistics --- Mathematical models --- Stochastic control theory. --- Environment. --- Energy policy. --- Energy and state. --- Mathematical models. --- Electric power production. --- Environmental Management. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Energy Technology. --- Energy Policy, Economics and Management. --- Mathematical Modeling and Industrial Mathematics. --- Control theory --- Stochastic processes --- Energy Systems. --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Environmental stewardship --- Stewardship, Environmental --- Management --- Statistics . --- Energy systems. --- Ecology . --- Models, Mathematical --- Simulation methods --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Government policy