Chapter 13 APPLICATION OF FUZZY LOGIC FOR CONTROL OF HEATING CHILLING AND AIR
13.2 Building Energy Management System BEMS 13.3 Air Conditioning System FLC vs. DDC 13.3.4 Fuzzy Cascade Controller 13.4 Fuzzy Control for the Operation Management of a Complex Chilling System 13.4.2 Process Operation with FLC 13.4.3 Description of the Different Fuzzy Controllers 13.4.4 System Performance and Optimization with FLC 13.5 Application of Fuzzy Control for Energy Management of a Cascade Heating Center 13.5.2 FLC for System Optimization 13.5.4 Temperature Control Fuzzy vs. Digital
221 Model of Biological Neurons
In general, the human nervous system is a very complex neural network. The brain is the central element of the human nervous system, consisting of near 1010 biological neurons that are connected to each other through sub-networks. Each neuron in the brain is composed of a body, one axon and multitude of dendrites. The neuron model shown in Figure 2.1 serves as the basis for the artificial neuron. The dendrites receive signals from other neurons. The axon can be considered as a long tube, which...
1990
Rauch, H. E. and Winarske, T., Neural Networks for Routing Communication Traffic, IEEE Control Syst. Mag., Vol. 8, No. 2, 26, 1988. Hofer, D. S., Neumerkel, D., and Hunt, K., Neural Control of a Steel Rolling Mill, IEEE Control Syst., Vol. 13, No. 3, 69,1993. Majors, M., Stori, J., and Cho, D., Neural Network Control of Automotive Fuel-Injection Systems, IEEE Control Syst., Vol. 14, No. 3, 31, 1994. Nekovie, R. and Sun, Y., Back-propagation Network and its Configuration for Blood Vessel...
Preface
Since the early 1960s, artificial intelligence AI has found its way into industrial applications - mostly in the area of expert knowledge-based decision making for the design and monitoring of industrial products or processes. That fact has been enhanced with advances in computer technology and the advent of personal computers, and many applications of intelligence have been realized. With the invention of fuzzy chips in the1980s, fuzzy logic received a high boost in industry, especially in...
Chapter 12 AUTONOMOUS UNDERWATER VEHICLE CONTROL USING FUZZY LOGIC
12.3 Autonomous Underwater Vehicles AUVs 12.5 Sliding Mode Fuzzy Control SMFC 12.7 Guidelines for Online Adjustment 12.7.2 Thickness of the Boundary Layer Effects 12.8 At Sea Experimental Results