By B. Hu

The twenty-seven papers disguise fresh advances in either empirical and theoretical facets of man-machine interplay with particular emphasis at the topics of man-automation and man-computer interplay. they supply details on an issue which has grown swiftly in significance in the course of fresh years

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Extra info for Analysis, Design and Evaluation of Man–Machine Systems 1989. Selected Papers from the Fourth IFAC/IFIP/IFORS/IEA Conference, Xi'an, People's Republic of China, 12–14 September 1989

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Since the optimal solution is not a priori known, s t a t e and control variables have to be defined in relation to some given non-optimal - nominal - solution of the system equation. Also, bias terms have to be introduced into the cost functional to be minimized, in order to take into account the sub-optimality of the nominal solution. Thus, the cost criterion according to Eq. (3) has to be extended as follows: J(u) = Σ 1=1 +1 ° {[x(i)-q(i)]TQ(i)[x(i)-q(i)]+q0(i) + [u(i-l)-r(i-l)] T R(i-l)[u(i-l)-r(i-l)]} T + [x(ie)-p(ie)] P(ie)[x(ie)-p(ie)], (4) where - the vector q(i) and the scalar q0(i) are the additional s t a t e weighting parameters, indicating the least cost s t a t e and the corresponding least cost; - the vector r(i) is the additional control effort weighting parameter, indicating the least cost control.

Although t h i s system only furnishes manpower education p l a n n i n g — p a r t of the manpower planning, i t a d o p t s t h e combined s t r u c t u r e , as shown in Figl. An new DSS f o r manpower planning and f o r e c a s t i n g will be developed by i n t e g r a t i n g t h i s system with o t h e r lump, f o r example, f o r e c a s t i n g of v a r i ­ ous manpower r e s o u r c e s demand, micro-planning f o r manpower use and macro—planning f o r man­ power management , i t will give f u l l p l a y t o t h e a d v a n t a g e s of DSS f o r r e s e a r c h of man­ power g r o u p r e g u l a r i t y .

The unit of constraints gives the relationship among variables and t h e range of every variable. The s t r u c t u r e management unit has given t h e information of constraint, such as t h e kind of constraints and v a r i ­ ables. The user can input some of t h e o b j e c ­ tives and constraints, if they can not be obtained by revising t h e r e l a t e d models s t r u c t u r e in t h e system. This system has ability t o study , t h e model base will memor­ ize t h e new objectives and constraint.

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Analysis, Design and Evaluation of Man–Machine Systems 1989. by B. Hu
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