Control Theory and Decision Making in Organisations A Reconnaissance

1970 ◽  
Vol 3 (3) ◽  
pp. T46-T48 ◽  
Author(s):  
G. L. Mallen
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Decision Process ◽  
Transfer Functions ◽  
Social Systems ◽  
Simulation Methods ◽  
Industrial Dynamics ◽  
Simulation Approach ◽  
Decision Systems ◽  
Classical Control

Differences between the domains of application of classical control theory and applied cybernetics are examined. It is suggested that a unifying concept for the understanding of both simple mechanical control systems and complex social systems is that of the decision process. Simple decision systems are equated to those for which transfer functions can be specified. Complex systems demand a simulation approach. No prescriptive organisational control theory based on simulation methods yet exists but one is required and is seen to be emerging from such diverse fields as artificial intelligence and Industrial Dynamics.

scholarly journals Simple answers to usual questions about unusual forms of the Evans' root locus plot

2008 ◽  
Vol 19 (4) ◽  
pp. 444-449 ◽  
Author(s):  
L.H.A. Monteiro ◽  
J.J. Da Cruz
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Root Locus ◽  
Loop Control ◽  
Numerical Examples ◽  
Introductory Course ◽  
Classical Control ◽  
First Contact

After a first contact with Evans' root locus plots, in an introductory course about classical control theory, students usually pose questions for which the answers are not trivially found in the usual textbooks. Examples of such questions are: Can a branch intersect itself? Can two or more branches be coincident? Can a branch intersect its asymptote? In this paper devoted to helping teaching, numerical examples and an incremental property are used for answering some questions about unusual forms of root loci related to closed-loop control systems. In some cases, answering to these questions can be fundamental for making a correct sketch of a root locus.

scholarly journals Information analysis and synthesis of the organizational structure of the unique project in the classical control theory

2019 ◽  
Vol 80 (4) ◽  
pp. 463-470
Author(s):  
A. N. Desyatirikov ◽  
Yu. B. Nechaev ◽  
E. N. Desyatirikova ◽  
A. Yu. SHestopalov
Keyword(s):  
Information Theory ◽  
Control System ◽  
Control Theory ◽  
Organizational Structure ◽  
Management System ◽  
Transfer Functions ◽  
Information Value ◽  
Management Process ◽  
Analysis And Synthesis ◽  
Classical Control

The formation of the organizational structure of a unique project (without prototypes) refers to the general problem of optimizing the management of processes in irreversible systems of various types. At the same time, an increase in the dimension of the system requires the construction of models not only for particular situations of the objective environment, but also for models that take into account the nature of the dynamics of changes in the parameters of the management process throughout the planning horizon. The article considers the problem from the perspective of information theory, which allows the most abstract method (not limited to a specific subject area) to carry out modeling and optimization of the structure of a control system with a complex, unparalleled project. Information in the economic system is heterogeneous, probabilistic, and has various quantitative characteristics, used to varying degrees in the modeling of complex management processes. The problem of synthesizing the structure of an organizational management system includes the choice of the number of levels and subsystems, as well as the principles of management organization; synthesis of the structure of the system for collecting, transmitting and processing information; addressing issues related to optimizing the hierarchy of the system, ensuring the effective performance of management functions and the achievement of goals. In the tasks of analysis and synthesis of the organizational structure of unique projects, the apparatus of the transfer functions of the classical control theory is used. The organizational structure was modeled at the most abstract level in terms of information theory. The proposed method of optimizing the organizational structure, taking into account the principle of the information value of the resources of the management system. The representation of the management process as a transitional process (a dynamic process of information transformation) allows to reconcile the dynamic characteristics of the control system hardware and the human factor operating in it.

Sychronisation of Chua's Oscillator via the State Observer Technique

2003 ◽  
Vol 40 (1) ◽  
pp. 36-44
Author(s):  
Xiaogen Yin ◽  
Y. J. Cao
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Chaotic Dynamics ◽  
State Observer ◽  
Dynamical Behaviour ◽  
Simple Approach ◽  
Nonlinear Circuit ◽  
Third Order ◽  
Rich Variety ◽  
Chua’S Oscillator

Chua's oscillator is a simple autonomous third-order nonlinear circuit with a rich variety of dynamical behaviour. This paper presents a simple approach to synchronisation of Chua's oscillators using a state observer in control theory, which can be used as an interesting example for educational purposes in control systems, showing the students a simple way of coping with chaotic dynamics.

CPS Security

2015 ◽  
pp. 119-139
Keyword(s):  
Information Security ◽  
Control Theory ◽  
Control Systems ◽  
Distributed System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Secure Control ◽  
Structured Information ◽  
Specialized Experts ◽  
And Control

Information security can be efficiently provided by the sound structured information and a set of specialized experts in the field of IT and CPS. The interconnection among the systems in the CPS imposes a new challenge in providing security to CPS. A concise study of CPS security is given in this chapter. The problem of secure control systems is also indentified and defined. The way the information security and control theory guards the system is explored. The security of CPSs can be enhanced using a particular set of challenges, which are also described later in this chapter. The resistance to malicious events is strengthening as cyber physical systems are part of critical structures. The CPSs are time sensitive in nature, unlike the distributed system where a little amount of delay is acceptable.

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