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Specification of the Budget Planning System
Dynamic Budget Planning
Appendix B Stability of the proximate planning model by
9 other sections not shown
accounting achieve adaptive Aoki approach Ashby's assumed asymptotic stability behaviour Bertalanffy bounded rationality budget control system budget planning business enterprise Chap Chapter closed system cognitive complete components concepts consider constraints control budget control theory control variables cybernetic control decision defined denotes described deterministic discussion disturbances dynamic system economic effects elements endogenous entropy environment equifinality equilibrium example exogenous variables F. E. Emery feedback firm forecasting formally future fuzzy sets fuzzy subsets given initial conditions input learning linear mathematical matrix measure membership function motivation non-fuzzy observability open system open-loop control operations optimal control organization outcomes output parameters path pay-off period planning and control planning system possible probability problem proximate model pseudoinverse random variable referred relation relationships relevant represented requirements requisite variety response specification stability state-space statistical steady stochastic systems theory Systems Thinking time-invariant system tion transformation uncertainty values vector W. R. Ashby York z-transform