Professor Zdzislaw Bubnicki PhD (auth.)'s Analysis and Decision Making in Uncertain Systems PDF

By Professor Zdzislaw Bubnicki PhD (auth.)

ISBN-10: 1447137604

ISBN-13: 9781447137603

ISBN-10: 1849969094

ISBN-13: 9781849969093

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

With designated emphasis on doubtful keep an eye on structures, Professor Bubnicki supplies a special method of formal versions and layout (including stabilization) of doubtful platforms, in line with doubtful variables and similar descriptions.

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

• Examples in regards to the regulate of producing platforms, meeting techniques and job distributions in computers point out the probabilities of functional purposes and ways to selection making in doubtful systems.

• comprises exact difficulties resembling acceptance and regulate of operations less than uncertainty.

• Self-contained.

If you have an interest in difficulties of doubtful keep an eye on and choice aid platforms, this may be a priceless addition in your bookshelf. Written for researchers and scholars within the box of regulate and data technological know-how, this booklet also will gain designers of data and keep an eye on systems.

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Additional resources for Analysis and Decision Making in Uncertain Systems

Sample text

S minimizing E 8 (s;u,z) =(y- y *) T (y- y *) ~ l/Jc(u,z) where where y and y * are column vectors. In version I /:,. 8) UEU where l/Ja(u,z) = fy(/;u,z) and fy(y;y,z) should be determined in the same way as in the analysis problem. The result ua is a function of z if ua is a unique value maximizing l/Ja for the given z. 7). 9) has a unique solution with respect to u for a given z, then as a result one obtains ub = lf'b(z). In version III for the determination of E s (s; u, z) one should find the probability density f 8 (s;u,z) for s (if it exists), using the function s = lfJ[l/J(u,z,x'), /1 and the probability density fx(x).

E. x=g(m) where x is a vector of features characterizing the element m. Q. A frequency of the event "x = xj " for the discrete case is defined as a ratio between the number of cases xi =xj in the sequence (xl>x 2 , ... ,xn) and n. In a similar way we define a frequency of the event" xeDx" for the continuous case as a ratio between the number of cases x j eDx in the sequence and n. If n is x sufficiently large then the first frequency is approximately equal to P( = x;) and the second frequency is approximately equal to P(x eDx).

K. g. ik(u,y) ay(I) ay(2) ayU) and yCil for j = 1, 2, ... , l are the components of y. 6) y which may be the final result of the analysis problem-solving. For the plant with external disturbances z described by a function y = , u and z find the probability density fy(Y Iu,z) -1 x =

and / (a desirable output) are given.

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Analysis and Decision Making in Uncertain Systems by Professor Zdzislaw Bubnicki PhD (auth.)


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