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Monday, August 10, 2020 | History

2 edition of Optimal and self-optimizing control found in the catalog.

Optimal and self-optimizing control

R. Oldenburger

Optimal and self-optimizing control

by R. Oldenburger

  • 92 Want to read
  • 24 Currently reading

Published by M.I.T. .
Written in English


Edition Notes

Statementedited by R. Oldenburger.
ID Numbers
Open LibraryOL19808306M

The analysis techniques and the material on control structure design should prove very useful in the new emerging area of systems s of the first edition:"Being richin insights and practical tips on controller design, the book should also prove to be very beneficial to industrial control engineers, both as a reference book and as. Keating, BD & Alleyne, A , Combining self-optimizing control and extremum seeking for online optimization with application to Vapor Compression cycles. in American Control Conference, ACC , , Proceedings of the American Control Conference, vol. July, Institute of Electrical and Electronics Engineers Inc., pp. Cited by: 1.

•Tools for optimal real-time management (control) of factories. •Manufacturing Systems Engineering professionals who understand factories as complex systems. ⋆They must have systems expertise and intuition. Optimal buffer space distribution •Design the buffers for a machine production line. •The machines have been selected, and. USB2 US12/, USA USB2 US B2 US B2 US B2 US A US A US A US B2 US B2 US B2 AuthorityCited by:

The selection of suitable control structures has an important influence on the economic performance of process systems in the presence of disturbances. Economics has been incorporated in the control structure selection problem using different formulations based on different criteria. The backoff approach is based on the idea of minimizing the economic loss that results from the need to Author: Agustin Bottari, Pablo Andres Marchetti, Alejandro G. Marchetti. This article compares the advantages and disadvantages of two feasible control methods, through researching a sort of passive filter using controllable reactor instead of parameter-fixed reactor, then improves them and implements a control method based on self-optimizing control.


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Optimal and self-optimizing control by R. Oldenburger Download PDF EPUB FB2

Although the area of optimal and self-optimizing control is relatively new (the fundamental papers collected in this volume were all published after ), this domain of control now dominates the whole field. Most of the work has been done in the Soviet Union and the United States, and the volume of papers pertaining to it has grown at a rapidly increasing rate; yet until now there has been.

Optimal and Self-Optimizing Control Hardcover – J by Rufus Oldenberger (Editor) See all formats and editions Hide other formats and editions. Price New from Used from Hardcover "Please retry" $ — $ Format: Hardcover.

Additional Physical Format: Online version: Oldenburger, Rufus, Optimal and self-optimizing control. Cambridge, Mass., M.I.T. Press [] (OCoLC) The basic issues in self-optimizing control (selection of controlled outputs to make implementation of the optimal solution insensitive to uncertainty).

Part 2. Taylor series analysis. Part 3. Theoretical basis for using the minimum singular value for output selection. Part File Optimal and self-optimizing control book KB. The so-called self-optimizing control (SOC) strategy aims to select appropriate CVs so that when they are maintained at constant setpoints, the overall plant operation is optimal or near optimal.

Rather, the term self-optimizing control has been used for describing a strategy for desinging the control structure, where the aim is to achieve close to optimal operation by (constant) setpoint Author: Sigurd Skogestad. A simple example of self-optimizing control is the process of baking a cake, where the operation is indirectly kept close to its optimum (“a well-baked cake”) by controlling the oven temperature and baking time at the setpoints given in the cook book (which in this case is the “optimizer”.)Cited by: Self-optimizing Control of Cooling Tower for Efficient Operation of Chilled Water Systems Xiao Li1*, Yaoyu Li2, John E.

Seem3, Pengfei Li4 1Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA [email protected] 2Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, USA.

Optimal and Self-Optimizing Control [Rufus Oldenburger] on *FREE* shipping on qualifying offers. Rather, the term self-optimizing control has been used for describing a strategy for desinging the control structure, where the aim is to achieve close to optimal operation by (constant) setpoint control (Alstad, Skogestad, Hori,Skogestad,Skogestad, a).

In this paper, we will also use the term self-optimizing control in this Cited by: In cellular communications technology, self-optimization is a process in which the system’s settings are autonomously and continuously adapted to the traffic profile and the network environment in terms of topology, propagation and interference.

Together with self-planning and self-healing, self-optimization is one of the key pillars of the self-organizing networks (SON) management paradigm.

Li, P. Y., & Horowitz, R. Self-optimizing control: Application to smart exercise Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA (pp.

) by: 1. A survey of self-optimizing control was published in J. Jäschke, Y. Cao and V. Kariwala, ``Self-optimizing control - A survey'', Annual Reviews in Control, (). A good introduction to self-optimizing control, with lots of simple examples, is the following paper.

lated inputs. Self-optimizing control is a direct general-ization to the case where we can achieve acceptable (economic) performance with constant controlled vari-ables.] The term ‘‘self-optimizing control’’ is short and descriptive, but also other terms have been used to describe the same idea, such as ‘‘feedback optimizing.

Processes, an international, peer-reviewed Open Access journal. Dear Colleagues, The term “process industry” refers to elementary raw material industries such as industries for petroleum, chemicals, steel, nonferrous metals, and building materials, which are fundamental for the national economy.

A self-optimizing switching control scheme for uncertain ARMAX systems. Proceedings of the 44th IEEE Conference on Decision and Control, A multivariable self-tuning controller with strongly consistent parameter by: Self-optimizing control is known as a promising alternative to model-based online optimization techniques and gained more and more attention in the scientific and industrial community during the last decade.

Among others, the the dynamic modeling of spiral-wound heat exchangers, the synthesis of self-optimizing control structures and the. Processes, an international, peer-reviewed Open Access journal.

Dear Colleagues, It is my pleasure to invite contributions to this Special Issue on Optimization-Driven Methods for Optimal Operation and Control Strategies. Self-optimizing control: Basis issues and Taylor series analysis Sigurd Skogestad and Ivar J.

Halvorsen Department of Chemical Engineering Norwegian University of Science and Technology optimal setpoints c s, and the control layer attempts to implement then in practice, i.e. to getAuthor: Sigurd Skogestad, Ivar J. Halvorsen. This book povides a design methodology that helps to master these challenges and to enable third parties to develop self-optimizing systems by themselves.

Keywords Optimal Control Problem Multiobjective Optimization Technical System Multiobjective Optimization Problem Mechatronic SystemCited by: 1. A self-optimizing switching control scheme for uncertain ARMAX systems. Proceedings of the 44th IEEE Conference on Decision and Control, Optimal adaptive control for Cited by:   The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties.

Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations.This book is devoted to the study and analysis of metrology for non-stationary dynamic measurements which presents quite a challenge as it is difficult to control and evaluate.

Radiation Transmission-based Thickness Measurement Systems - Theory and Applications to Flat Rolled Strip Products.