Andere Kunden interessierten sich auch für
![Controller Design Using NN Based HJB solution For Bilinear Systems]( "Controller Design Using NN Based HJB solution For Bilinear Systems")
Controller Design Using NN Based HJB solution For Bilinear Systems26,99 €![PID Control: Basic Controller Design]( "PID Control: Basic Controller Design")
PID Control: Basic Controller Design32,99 €![Geno-Fuzzy PID Controller For Optimum Control System]( "Geno-Fuzzy PID Controller For Optimum Control System")
Geno-Fuzzy PID Controller For Optimum Control System36,99 €![Generators Loss of Excitation and Phase Backup Protection using ANFIS]( "Generators Loss of Excitation and Phase Backup Protection using ANFIS")
Generators Loss of Excitation and Phase Backup Protection using ANFIS40,99 €![Analytical Structures for Fuzzy PID Controllers]( "Analytical Structures for Fuzzy PID Controllers")
Analytical Structures for Fuzzy PID Controllers40,99 €![Clustering based fuzzy controller for speed control of DC motor]( "Clustering based fuzzy controller for speed control of DC motor")
Clustering based fuzzy controller for speed control of DC motor26,99 €![Optimized PID Parameters]( "Optimized PID Parameters")
Optimized PID Parameters32,99 €
The temperature control of sensitive biological and medical applications is important especially when the temperature is a critical condition. That's lead to the investigation for accurate and efficient controller to meet medical requirements, and that can be found in artificial intelligent techniques. The challenge is the implementation of these intelligent controllers on integrated circuits. FPGA is the most competitive one which is the best in capacity, performance and convenient for fast implementation and verification. This book provides a modeling of the medical oven and presents a design and implementation of intelligent controller which can get over the characteristics of heating systems. A proposed digital ANFIS controller is designed in this book to facilitate the implementation process with high controls accuracy and reducing complexity and cost. The proposed digital ANFIS can be used for any other application just with varying its constants. This approach can help in shed light on new technology of FPGA implementation that can save time, efforts, and cost with small chip size and excellent performance.