District heating systems (DHS) are driven by the heat demands of their consumers, with higher giving a load on production. While human-dependent, they contain diurnal behaviors and weather dependencies. The periods high causing peak loads production, which is operationally costly. This especially true for pumps, solution DHS to include green energy, as cost depends directly needed temperature. ...

The paper considers the issue of approbation adaptive predictive control for heating, ventilation and air conditioning systems, shows possibility improving regulation processes by its application on example system. idea using model is presented, principles MPC controller are noted, structure criterion choosing optimal values signal considered. feature presence mathematical object, which accurat...

This paper is concerned with neural-learning control of nonlinear dynamical systems. A variable neural network is introduced for approximating unknown nonlinearities of dynamical systems. Based on variable neural networks, adaptive neural control and predictive neural control schemes are studied. In the adaptive neural control scheme, the weight-learning laws and adaptive controller developed u...