Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
An introduction to fuzzy control
An introduction to fuzzy control
Expert control of air-conditioning plant
Automatica (Journal of IFAC)
Development and evaluation of an auto-tuning and adaptive PID controller
Automatica (Journal of IFAC)
Tuning of Industrial Control Systems
Tuning of Industrial Control Systems
Adaptive Control
Adaptive Control Systems
Microcomputer Control of Thermal and Mechanical Systems
Microcomputer Control of Thermal and Mechanical Systems
Brief paper: Pattern recognition: An alternative to parameter identification in adaptive control
Automatica (Journal of IFAC)
Expert Systems with Applications: An International Journal
Fuzzy adaptive control for the actuators position control and modeling of an expert system
Expert Systems with Applications: An International Journal
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This paper describes a novel method for automatically adjusting the gain and integral time of proportional-integral controllers based upon patterns that characterize the closed-loop response. The method was developed for self-regulating systems that can be modeled as first-order plus dead-time systems. This new pattern recognition adaptive controller (PRAC) is easy to use and provides near-optimal performance for a range of systems and noise levels. Also, the algorithm is computationally efficient and does not have large memory requirements. PRAC has successfully tuned control systems for heating, ventilating, and air-conditioning (HVAC) equipment in office buildings, high schools, universities, national laboratories, department stores, hospitals, clinics, and large sports stadiums. Simulation and field test results are included in this paper.