By Professor Zdzislaw Bubnicki PhD (auth.)

A unified and systematic description of study and choice difficulties inside a large category of doubtful platforms, defined via conventional mathematical equipment and through relational wisdom representations.

With certain emphasis on doubtful keep an eye on structures, Professor Bubnicki offers a distinct method of formal types and layout (including stabilization) of doubtful platforms, in accordance with doubtful variables and comparable descriptions.

• advent and improvement of unique options of doubtful variables and a studying procedure which include wisdom validation and updating.

• Examples in regards to the keep watch over of producing structures, meeting tactics and activity distributions in computers point out the chances of useful purposes and techniques to choice making in doubtful systems.

• contains particular difficulties equivalent to acceptance and keep an eye on of operations less than uncertainty.

• Self-contained.

If you have an interest in difficulties of doubtful keep watch over and determination aid structures, this may be a beneficial addition in your bookshelf. Written for researchers and scholars within the box of keep an eye on and data technology, this e-book also will profit designers of data and keep watch over systems.

Show description

Read or Download Analysis and Decision Making in Uncertain Systems PDF

Best occupational & organizational books

The Indispensable Employee

By way of task safeguard, there aren't any promises. yet there are methods to overcome the percentages. To develop into a key participant. To develop into irreplaceable. Now, at a time while individuals are wasting their jobs at an alarming price all throughout the USA, bestselling writer Eric Weber’s up-to-date variation presents the elemental instruments to maintaining your activity.

Building Team-Based Working: A Practical Guide to Organizational Transformation (One Stop Training)

This publication offers managers and experts sensible tips on find out how to construct enterprises which are established round potent teamworking. this article makes a speciality of how you can construct corporations which are established round groups. perfect for managers or experts who're introducing team-based operating into corporations.

Mistreatment in the Workplace: Prevention and Resolution for Managers and Organizations

Integrating findings from study and perform so as to make useful, evidence-based strategies for combating and addressing systemic office mistreatment, this ebook: makes a speciality of the recursive results of mistreatment in enterprises and the way person and organizational health should be improved by way of carefully-designed guidelines and methods.

Practicing Positive Psychology Coaching: Assessment, Activities and Strategies for Success

Become aware of confirmed techniques for utilising optimistic psychology inside your training practiceWritten by way of Robert Biswas-Diener, a revered researcher, psychologist, existence and organizational trainer, and specialist in confident psychology, training confident Psychology training offers quite a lot of functional interventions and instruments you could placed to take advantage of instantly on your training perform.

Additional resources for Analysis and Decision Making in Uncertain Systems

Example text

The probability distribution fu (u) may not exist) and in the description KP= it is not necessary to assume that y is the value of a random variable. In the discrete case we have finite sets of possible input and output vectors: uE {ui,iJi, ... ,ua }, The knowledge representation K(p) analogous to f(u,y) now has a form of the matrix where pif denotes the joint probability that u =uj and Pij y = Yi: =P[(u=uj)A(y=y;)]. J z-1,2, ... , , j = l,2, ... ] l - 1,2, ... , ' j = l,2, ... 4) The forms of KP presented above may be called non-parametric descriptions of the uncertain plant.

30) where D Y ( u, z; x) is the set of possible outputs for the fixed u and z: Dy(u,z;x) = {y E Y :(u,y,z) E R(u,y,z;x)}. 32) where Dx(Dy,u,z) = {x EX: DyE Dy(u,z;x)}. The decision problem consists in finding for the given z the optimal decision u * maximizing the probability P[Dy(u,z;x) <;;;; Dy] ~ p(u,z). 34) The result u * is a function of z if u * is a unique value maximizing p(u, z) for the given z. In this case we obtain the deterministic decision algorithm u * = lf'{z) in an open-loop decision system (Fig.

Using the different ways of the determinization described above. It is also important to note that the results '~'ad and 'f'bd in points A and B have no evident empirical interpretation. 4. Let us determine the optimal decision ud* following data: D for a one-dimensional plant and the 53 Application of Random Variables fx(x) = { . -k 0 for x~O for X s; 0. 9. 37) is determined by the inequality 2u u Y2 -z Yl -z --s;xs;--. 4--). 41) Analysis and Decision Making in Uncertain Systems 54 dpd(u,z) = 0 du we obtain the deterministic decision algorithm * _ ITf ( ) _ ud- rd z - (YI- z)(Y2- z){ln(y2- z) -ln[2(yl- z)]} .

Download PDF sample

Download Analysis and Decision Making in Uncertain Systems by Professor Zdzislaw Bubnicki PhD (auth.) PDF
Rated 4.32 of 5 – based on 44 votes