2 edition of **Optimal control of engineering processes** found in the catalog.

Optimal control of engineering processes

Leon Lapidus

- 191 Want to read
- 11 Currently reading

Published
**1967**
by Blaisdell
.

Written in

**Edition Notes**

Statement | [by] L. Lapidus, R. Luus. |

Series | Blaisdell books in the pure and applied sciences |

Contributions | Luus, Rein. |

ID Numbers | |
---|---|

Open Library | OL13690726M |

Control theory deals with the control of continuously operating dynamical systems in engineered processes and machines. The objective is to develop a control model for controlling such systems using a control action in an optimum manner without delay or overshoot and ensuring control l theory is subfield of mathematics, computer science and control engineering. Modern control engineering practice includes the use of control design strate-gies for improving manufacturing processes, the efficiency of energy use, and ad-vanced automobile control (including rapid transit,among others).We will examine these very interesting applications of control engineering and introduce the subject area of mechatronics.

Induction heating is a complex combination of electromagnetic, heat transfer, and metallurgical phenomena involving many factors. The main components of an induction heating system are an induction coil, power supply, load-matching station, quenching Cited by: 1. Examples of control systems used in industry Control theory is a relatively new field in engineering when compared with core topics, such as statics, dynamics, thermodynamics, etc. Early examples of control systems were developed actually before the science was fully understood.

Control engineering or control systems engineering is an engineering discipline that applies control theory to design systems with desired behaviors in control environments. The discipline of controls overlaps and is usually taught along with electrical engineering and mechanical engineering at many institutions around the world.. The practice uses sensors and detectors to measure the output. Professor Biegler’s research projects center on the development and application of concepts, algorithms and applications of optimization and numerical methods for process design, analysis, operations and control. Topics in this area include: Advanced algorithms for flowsheet simulation, optimization, and sensitivity analysis.

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Optimal control theory is the science of maximizing the returns from and minimizing the costs of the operation of physical, social, and economic processes. Geared toward upper-level undergraduates, this text introduces three aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for Cited by: Ogata is, in my opinion the best control system book out there, at this level - from there you can go to Bryson and Ho's book, which contains all there is to know about optimal control.

A water down version of Bryson is Lewis (from G-tech) but it is still good. Get this from a library. Optimal control of engineering processes.

[Leon Lapidus; Rein Luus] -- Father tells a "guaranteed-to-put-anyone-to-sleep" bedtime story to Alex with humorous results. This book introduces new approaches to solving optimal control problems in induction heating process applications.

Optimal Control of Induction Heating Processes demonstrates how to apply and use new optimization techniques for different types of induction heating installations. Focusing on practical methods for solving real engineering optimization problems, the text features a variety of. "This textbook on optimal control of nonlinear processes introduces several innovations compared to standard textbooks on this topic.

The software used is available through a companion website. The book can be highly recommended to students, teachers, and researchers interested in optimal control." (Walter Alt, Zentralblatt MATH, Vol. Optimal Control Theory Version By Lawrence C. Evans Department of Mathematics ∈ A.

Such a control α∗() is called optimal. This task presents us with these mathematical issues: (i) Does an optimal control exist. (ii) How can we characterize an optimal control mathematically.

The next example is from Chapter 2 of the book Caste File Size: KB. In a book on predictive control has been published by Wiley with coauthors R. Haber and U. Schmitz: Predictive Control in Process Engineering: From the Basics to the Applications.

Inand she was a visiting lecturer at the Helsinki University of Technology, Finland and in at the University of Louisiana, Lafayette, USA. Optimal control problems have been studied in many areas of science, engineering, and finance. Yet the numerical solution of such problems remains challenging.

A number of different techniques have been used, including nonlinear and dynamic programming (Bertsekas, ), ant colony optimization (Borzabadi and Mehne, ), and genetic algorithms (Wuerl et al., ). Book Description. Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve optimal control problems.

With a strong emphasis on problem solving, the book provides all the necessary mathematical analyses and derivations of important results, including multiplier theorems and Pontryagin’s principle.

Book Description. This book introduces new approaches to solving optimal control problems in induction heating process applications. Optimal Control of Induction Heating Processes demonstrates how to apply and use new optimization techniques for different types of induction heating installations.

Focusing on practical methods for solving real engineering optimization problems, the text. Get this from a library. Optimal control of induction heating processes. [Edgar Rapoport; Yulia Pleshivtseva;] -- "This book introduces new approaches to solving optimal control problems in induction heating process applications.

Optimal Control of Induction Heating Processes demonstrates how to. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications.

The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually Author: Michael J.

Grimble. This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establish. Optimal Control Theory Emanuel Todorov University of California San Diego Optimal control theory is a mature mathematical discipline with numerous applications in both science and engineering.

It is emerging as the computational framework of choice for studying the neural control of movement, in much the same way that probabilistic infer.

Stochastic Optimal Control of Structures. for stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically-based stochastic optimal (PSO) control.

By logically integrating randomness into control gain, the book helps readers design elegant control systems. This book offers a comprehensive introduction to the subject of control engineering.

Both continuous- and discrete-time control systems are treated, although the emphasis is on continuous-time systems. A chapter each is devoted to in-depth analysis of non-linear control systems, control system components, and optimal control theory. The book also introduces students to the modern concepts of 4/5(4).

Optimize manufacturing value in real time If you have the engineering resources and the business commitment to improve your value-add to the business, then real-time process optimization (RPO) may be right for your organization.

It also explains important chemical processes such as fluid flow systems, heat exchangers, chemical reactors and distillation systems using solved examples.

Optimal control of a batch Author: Suman Dutta. Optimal control problem We begin by describing, very informally and in general terms, the class of optimal control problems that we want to eventually be able to solve. The goal of this brief motivational discussion is to fix the basic concepts and terminology without worrying about technical details.

Other volumes in this series: Volume 8 A history of control engineering, – S. Bennett Volume 18 Applied control theory, 2nd edition J.R. Leigh Volume 20 Design of modern control systems D.J.

Bell, P.A. Cook and N. Munro (Editors) Volume 28 Robots and automated manufacture J. Billingsley (Editor) Volume 33 Temperature measurement and control J.R. LeighFile Size: 2MB. Contr ol theory S. Simr oc k DESY,Hamb urg, German y Abstract In engineering and mathematics, control theory deals with the beha viour of dynamical systems.

The desired output of a system is called the reference. When one or more output variables of a system need to follo w a certain ref-File Size: 1MB.The first part of the book introduces the theory of membrane processes, optimal control and dynamic optimization.

Separation problems are defined and mathematical models of batch membrane processes derived. The control theory focuses on problems of dynamic optimization from a .Customized optimal drug-dosage procedures are developed for each patient using optimal control methods with the targeted follicle size distribution (FSD) as the expected outcome.

This chapter describes the theory, model, and the optimal control procedure for improving outcomes of IVF treatment for one of the four protocols used in real practice.