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In terms of systems theory, the greenhouse represents a complex nonlinear system with emphasized subsystem interactions. System decoupling is used in order to obtain simplified control structures for independent control loops. This gives limited results because of the strong interaction between system variables. Such system does not allow system behaviour optimization primarily in terms of energy efficiency and/or water consumption. This paper presents a design of fuzzy logic based controller, which optimizes the Greenhouse heating, energy and water consumption. The design includes the main linguistic variables for sensors and actuators. Membership functions of Fuzzy Inference System (FIS) are generated and simulation and analysis of the behaviour of the designed control system is performed.

fax: + (44 902) 322 680; phone:+(.)322 716 School of Chemical Engineering, CE Lab., University of Bradford Richmond Rd., Bradford BD7 lDP, UK, fax: +(44 274) 733 466; phone: +(44 422)83 1923 Abstract -A methodology of studying and designing scheduling control algorithms and Petri-net supervisor implementing them for robotised F M S has been developed. It is of analytic-simulation type, the analytic part using Petri-net modelling and the simulation part making using animation. It makes visually tangible the F M S processes and reveals inconsistency or error in the derived scheduling control algorithms. INTRODUCTION In spite of considerable theoretical advances in modelling and control of discrete-event dynamic systems PEDS) including the problem of stabilising compensator, e.g. queuing networks [l], Petri's networks [2]-[3], operational analysis [4], Ho's state analysis [5], real-world implementable solutions are sought through an iterative analytic-simulation

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