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Modem control theory

Since about 1960 a variety of newer mathematical and computational techniques have been introduced. These are sometimes called, collectively, modem control theory . Their application to industrial process control so far has been limited. This is pardy so b use few practitioners are familiar with the technology, and partly because it is not really appropriate for many applications. Study of control systems by these method requires a fairly capable computer on-line implementation usually also requires an on-line computer. Two of the best known approaches are the (1) multivariable ffequency-respcMise method, pioneered by Rosenbrock and associates in England, and (2) the state space or state variable approach, which has been popular for aerospace and military applications. [Pg.296]

Although most existing columns do not have composition control at both ends, some columns are so equipped. Most of those reported in the literature (references 8 and 9, for example) apparently are not badly aSlicted with interaction. At least dual composition control was accomplished without decouplers. For a laboratory column Waller and associates studied six approaches to dual composition control, including those of modem control theory. Tyreus" discusses multivariable control of an industrial column whose design was performed via a technique called the inverse Nyquist array. [Pg.465]

In Chapter 12 we proposed a particular control-loop stmeture that incorporates overrides and antireset windup. It also accommodates feedforward compensation and advanced control techniques without interfering with either normal reset or antireset windup. We also suggested that decouplers could be designed to compensate for interactions in e same way that feedforward compensators are designed. The technique here leads to stable, noninteracting control, but not necessarily to optimum control. Modem control theory, with its more sophisticated approaches to multivariable control, sometimes reqtiires some interaction for optimality. [Pg.468]

It was felt that a nonisothermal policy might have considerable advantages in minimizing the reaction time compared to die optimal isothermal policy. Modem optimal control theory (Sage and White (1977)), was employed to minimize the reaction time. The mathematical development is presented below. [Pg.325]

The limitation of transfer function representation becomes plain obvious as we tackle more complex problems. For complex systems with multiple inputs and outputs, transfer function matrices can become very clumsy. In the so-called modem control, the method of choice is state space or state variables in time domain—essentially a matrix representation of the model equations. The formulation allows us to make use of theories in linear algebra and differential equations. It is always a mistake to tackle modem control without a firm background in these mathematical topics. For this reason, we will not overreach by doing both the mathematical background and the control together. Without a formal mathematical framework, we will put the explanation in examples as much as possible. The actual state space control has to be delayed until after tackling classical transfer function feedback systems. [Pg.64]

From the last example, we may see why the primary mathematical tools in modem control are based on linear system theories and time domain analysis. Part of the confusion in learning these more advanced techniques is that the umbilical cord to Laplace transform is not entirely severed, and we need to appreciate the link between the two approaches. On the bright side, if we can convert a state space model to transfer function form, we can still make use of classical control techniques. A couple of examples in Chapter 9 will illustrate how classical and state space techniques can work together. [Pg.70]

Kahn, D. and Westerhoff, H.V. (1993) Regulation and homeostasis in metabolic control theory interplay between fluctuations of variables and parameter changes. In Modem Trends in BioThermoKinetics. S. Schuster, M. Rigoulet, R. Ouhabi, J.P. Mazat, ed. (New York Plenum Press), pp. 199-204. [Pg.258]

M. Gopal, Modem Control Systems Theory, John Wiley Sons, Chichester, U.K., 1984. [Pg.349]

An introduction to control theory, with sample applications in biological, electronic, quantmn, information, mechanical, and aerospace systems and robotics, and a discussirm of the modeling that is necessary for control algorithm design can be foimd in Astrom and Murray [2]. A more limited discussion of implementing control for systems well described by linear dynamics can be foimd in [4]. Modem and future high-impact applications for control theory are discussed in the report [5]. Directions for and challenges in control of micro- and nanoscale systems are... [Pg.483]

A.R. Stubberud, Linear Time-Variable System Synthesis Thechniques in Modem Control Systems theory, ed. C.T. Leondes, Me. Graw-Hill Book Company, Inc., New York, 1965. [Pg.181]

It is not the intention here to reproduce the detailed theory of model predictive control (MFC) or how it used for multivariable control (MVC). This has become an almost obligatory section in modem control texts. There are also numerous papers, marketing material and training courses. In this book its description is limited to its general principles focus instead is on how to apply it and monitor its performance. [Pg.184]

For basic books on control, we recommend two written by the authors, one by Harriott, and one by Murrill. For more advanced treatments, we suggest texts by Koppel, ° Douglas, and Gould. The last contains some perceptive comments about the difficulties of applying advanced control theory developed by electrical and mechanical engineers to chemical processes. Recent books by Ray and by Stephanopolous discuss applications of modem control theor) in chemical processes. McAvox has addressed the specific subject of interaction analysis. [Pg.23]

Let s formulate the description of the modem catastrophe theory in the form of interpretation of the dynamic system of emergency situations control. Plotting the theoretical basis of the system within the frame of this theory is defined by original axioms. All the rest statements of the theory are logical conclusions of axioms. In the basis of the axiomatic synthesis of models of catastrophes lies the method of interpretation. Each definition and relation of the system s axiomatic theory is correspondent to some formalized description. [Pg.72]

Methodological foundations and formal apparatus of used methods and models of IS determine solving the problems of diagnostics and modeling in difficult dynamic environment. The developed methodology allows to realize the problem of emergency situations control on the basis of the modem catastrophe theory. [Pg.72]

Representative control devices and their applications have been presented. Then, mathematical formulations and simulation of controlled structures have been illustrated. Control algorithms suitable for civil structure inspired by the classical control theory were presented. Optimal control, LQR, pole assignment, sliding mode control, H2, fuzzy control, clipped-optimal control, and skyhook/ground hook control algorithms were briefly described. It was shown that with the help of modem technology, it is possible to control civil stractures in order to protect them from earthquake excitations. [Pg.18]

The fruitful relationship between experiment and theory has pushed carbene chemistry further toward the direction of reaction control that is, regio- and stereoselectivity in intra- and intermolecular addition and insertion reactions. The interplay between experiment and modem spectroscopy has led to the characterization of many carbenes that are crucial to both an understanding and further development of this held. [Pg.331]

X-ray topography is the X-ray analogue of transmission election microscopy and as such provides a map of the strain distribution in a crystal. The theory of image formation is well established and image simulation is thus a powerful means of defect identification. Despite a reputation for being a slow and exacting technique, with modem detector technology and care to match spatial resolution of detector and experiment, it can be a powerful and economical quality-control tool for the semiconductor industry. [Pg.215]

This model fits the self-reports of addicts and the common experience of people trying to give up bad habits generally. The model is certainly time-honored. However, close examination suggests that the dichotomies it rests on are only casual rules of thumb, which people use to decide how difficult certain experiences will be to control, rather than basic distinctions. I argue that modem behavioral research and simple logic demote this model from the explanatory to the merely descriptive. Let us look at the tenets of two-factor theory one by one ... [Pg.211]

Today, the theory of quanta has led to many applications, among which are the femtosecond lasers that can be used for the control of quantum systems. This modem laser technology allows the detailed observation of different types of molecular motions on ultrashort time scales with unprecedented resolution in energy. [Pg.2]

Molecular mechanics is an empirical method based on simple elements of theory that every user can and should understand. With modem software the user is able to control the calculations in terms of the energy minimization routine, the potential energy functions and the force field parameters used. A significant advantage of molecular mechanics calculations is that they are relatively rapid and therefore that large series of calculations may be performed. [Pg.53]

Computer modeling is a distinct type of scientific technique that bridges fimdamental theory with experimental observation on complex systems. Its success rests first on the fact that the basic physics controlling the behavior of matter at the atomic level has been established for over seventy years secondly on the development over the last twenty years of approximate but effective methods for implementing this physics in complex systems and thirdly on the ability of modem computers to handle the enormous demands regarding both processing power and memory required for realistic modeling of complex systems. [Pg.4529]


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See also in sourсe #XX -- [ Pg.296 , Pg.468 ]




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