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An intelligent control system is an automatic control system that uses various artificial intelligence-based computing methods, such as fuzzy logic control systems, genetic algorithm-based control systems, and neural network-like control systems.
Chapters
Chapter 1：Course Introduction (8 minutes and 54 seconds)
Chapter 2：Introduction to intelligent control systems 1. Automatic control system (13 minutes and 41 seconds)
Chapter 3：Introduction to Intelligent Control Systems 2. Computational Intelligence (8 minutes and 23 seconds)
Chapter 4：Introduction to Intelligent Control Systems 3. Fuzzy Logic System (8 minutes and 46 seconds)
Chapter 5：Introduction to Intelligent Control Systems 4. Evolutionary Computation (10 minutes and 10 seconds)
Chapter 6：Introduction to Intelligent Control Systems 5. Neural Networks (8 minutes and 58 seconds)
Chapter 7：Fuzzy set 1. Explicit set (11 minutes and 40 seconds)
Chapter 8：Fuzzy set 2. Fuzzy set (17 minutes and 47 seconds)
Chapter 9：Fuzzy sets 3. Basic concepts of fuzzy sets (11 minutes and 37 seconds)
Chapter 10：Fuzzy set 4. Fuzzy belonging function (10 minutes and 23 seconds)
Chapter 11：Fuzzy set 5. Operations of fuzzy sets (10 minutes and 46 seconds)
Chapter 12：Fuzzy logic 1. Clear relationship (16 minutes and 32 seconds)
Chapter 13：Fuzzy logic 2. Fuzzy relationship (17 minutes and 34 seconds)
Chapter 14：Fuzzy logic 3. Extension principle (12 minutes and 43 seconds)
Chapter 15：Fuzzy logic 4. Linguistic variables (13 minutes and 34 seconds)
Chapter 16：Fuzzy logic 5. Fuzzy rules (11 minutes and 4 seconds)
Chapter 17：Fuzzy logic 6. Fuzzy inference (16 minutes and 52 seconds)
Chapter 18：Fuzzy control system (1) 1. Fuzzy inference system (12 minutes and 15 seconds)
Chapter 19：Fuzzy control system (1) 2. Matlab programming (11 minutes and 12 seconds)
Chapter 20：Fuzzy control system (1) 3. Fuzzy control of air conditioner (17 minutes and 23 seconds)
Chapter 21：Fuzzy control system (1) 4. Fuzzy control of washing machine (16 minutes and 44 seconds)
Chapter 22：Fuzzy control system (1) 5. Sugeno fuzzy model (12 minutes and 54 seconds)
Chapter 23：Fuzzy control system (2) 1. DC motor fuzzy control (18 minutes and 17 seconds)
Chapter 24：Fuzzy control system (2) 2. Inverted pendulum fuzzy control (18 minutes and 37 seconds)
Chapter 25：Fuzzy control system (2) 3. Fuzzy control of reversing and warehousing (16 minutes and 41 seconds)
Chapter 26：Fuzzy control system (2) 4. Robot fuzzy control (18 minutes and 50 seconds)
Chapter 27：TS fuzzy control system (1) 1. TS fuzzy model (18 minutes and 54 seconds)
Chapter 28：TS fuzzy control system (1) 2. Parallel distribution compensation (11 minutes and 32 seconds)
Chapter 29：TS fuzzy control system (1) 3. Lyapunov stability theorem (12 minutes and 15 seconds)
Chapter 30：TS fuzzy control system (1) 4. Stability theorem of closed-loop TS fuzzy system (11 minutes and 51 seconds)
Chapter 31：TS fuzzy control system (1) 5. Stability theorem of closed-loop TS fuzzy system (17 minutes and 9 seconds)
Chapter 32：TS fuzzy control system (2) 1. Linear matrix inequality (13 minutes and 35 seconds)
Chapter 33：TS fuzzy control system (2) 2. Decline rate TS fuzzy controller design (11 minutes and 30 seconds)
Chapter 34：TS fuzzy control system (2) 3. Inverted pendulum TS fuzzy control (12 minutes and 28 seconds)
Chapter 35：TS fuzzy control system (2) 4. Bidirectional charger and discharger TS fuzzy control (17 minutes and 18 seconds)
Chapter 36：TS fuzzy control system (2) 5. Robot TS fuzzy control (18 minutes and 5 seconds)
Chapter 37：Binary genetic algorithm (1) 1. Gradient descent method (17 minutes and 45 seconds)
Chapter 38：Binary genetic algorithm (1) 2. Characteristics of genetic algorithm (11 minutes and 39 seconds)
Chapter 39：Binary genetic algorithm (1) 3. Binary encoding and decoding (16 minutes and 43 seconds)
Chapter 40：Binary Gene Algorithm (1) 4. Initial Population (11 minutes and 19 seconds)
Chapter 41：Binary genetic algorithm (1) 5. Fitness function (12 minutes and 23 seconds)
Chapter 42：Binary genetic algorithm (2) 1. Natural selection operation (17 minutes and 46 seconds)
Chapter 43：Binary genetic algorithm (2) 2. Mating operation (17 minutes and 49 seconds)
Chapter 44：Binary genetic algorithm (2) 3. Mutation operation (11 minutes and 44 seconds)
Chapter 45：Binary Gene Algorithm (2) 4. Elite Policy (11 minutes and 34 seconds)
Chapter 46：Binary genetic algorithm (2) 5. Parameter analysis of genetic algorithm (12 minutes and 6 seconds)
Chapter 47：Control system based on genetic algorithm 1. Function extreme value based on genetic algorithm (16 minutes and 28 seconds)
Chapter 48：Control system based on genetic algorithm 2. Control system time domain response and PID controller (18 minutes and 10 seconds)
Chapter 49：Control system based on genetic algorithm 3. Optimal PID control based on genetic algorithm (15 minutes and 46 seconds)
Chapter 50：Control system based on genetic algorithm 4. Robust PID control based on genetic algorithm (17 minutes and 55 seconds)
Chapter 51：Advanced genetic algorithm 1. Real number type genetic algorithm (18 minutes and 58 seconds)
Chapter 52：Advanced genetic algorithm 2. Control system based on real number genetic algorithm (16 minutes and 29 seconds)
Chapter 53：Advanced genetic algorithm 3. Gray coding (11 minutes and 10 seconds)
Chapter 54：Advanced genetic algorithm 4. Linear scaling of adaptation function (11 minutes and 16 seconds)
Chapter 55：Advanced genetic algorithm 5. Fitness function standard deviation scaling (13 minutes and 40 seconds)
Chapter 56：Control system based on particle swarm optimization method 1. Principle of particle swarm optimization method (18 minutes and 41 seconds)
Chapter 57：Control system based on particle swarm optimization method 2. Function extreme value based on particle swarm optimization method (16 minutes and 26 seconds)
Chapter 58：Control system based on particle swarm optimization method 3. Parameter analysis of particle swarm optimization method (11 minutes and 27 seconds)
Chapter 59：Control system based on particle swarm optimization method 4. PID control based on particle swarm optimization method (11 minutes and 42 seconds)
Chapter 60：Control system based on particle swarm optimization method 5. Robust PID control based on particle swarm optimization method (13 minutes and 57 seconds)
Chapter 61：Fuzzy control system based on evolutionary computing 1. Spindle motor servo system (12 minutes and 32 seconds)
Chapter 62：Fuzzy control system based on evolutionary computation 2. Fuzzy control based on genetic algorithm (12 minutes and 16 seconds)
Chapter 63：Fuzzy control system based on evolutionary computing 3. Robotic arm control system (11 minutes and 44 seconds)
Chapter 64：Fuzzy control system based on evolutionary computation 4. TS fuzzy control based on genetic algorithm (11 minutes and 36 seconds)
Chapter 65：Fuzzy control system based on evolutionary computing 5. Based on maglev control system (11 minutes and 51 seconds)
Chapter 66：Fuzzy control system based on evolutionary calculation 6. TS fuzzy control based on particle swarm optimization method (13 minutes and 12 seconds)
Chapter 67：Single-layer neural network 1. Neuron-like model (15 minutes and 15 seconds)
Chapter 68：Single layer neural network 2. Perceptron (17 minutes and 16 seconds)
Chapter 69：Single-layer neural network 3. Perceptron application case (13 minutes and 1 seconds)
Chapter 70：Single-layer neural network 4. Adapt to linear components (18 minutes and 15 seconds)
Chapter 71：Single-layer neural network 5. Application examples adapted to linear components (15 minutes and 28 seconds)
Chapter 72：Multi-layer neural network 1. Multi-layer neural network architecture (14 minutes and 52 seconds)
Chapter 73：Multi-layer neural network 2. Backpropagation algorithm (17 minutes and 25 seconds)
Chapter 74：Multi-layer neural network 3. XOR gate (12 minutes and 22 seconds)
Chapter 75：Multi-layer neural network 4. Function approximation (12 minutes and 58 seconds)
Chapter 76：Multi-layer neural network 5. Multi-layer neural network application examples (20 minutes and 1 seconds)
Chapter 77：Neural network-like control system (1) 1. Neural network-like control system (19 minutes and 18 seconds)
Chapter 78：Neural network-like control system (1) 2. Neural network-like pattern predictive control (17 minutes and 39 seconds)
Chapter 79：Neural network-like control system (1) 3. Engine neural network-like temperature control (17 minutes and 33 seconds)
Chapter 80：Neural network-like control system (1) 4. DC motor neural network-like control (19 minutes and 14 seconds)
Chapter 81：Neural network-like control system (2) 1. Neural network-like model reference control (15 minutes and 40 seconds)
Chapter 82：Neural network-like control system (2) 2. Robot arm system identification (13 minutes and 10 seconds)
Chapter 83：Neural network-like control system (2) 3. Neural network-like control of robot arm (13 minutes and 16 seconds)
Chapter 84：Neural network-like control system (2) 4. Neural network control for reversing and warehousing (15 minutes and 22 seconds)
Chapter 85：Fuzzy neural network control system 1. Adaptive neuro-fuzzy inference system (14 minutes and 27 seconds)
Chapter 86：Fuzzy neural network control system 2. Hybrid learning algorithm (12 minutes and 17 seconds)
Chapter 87：Fuzzy neural network control system 3. Discrete dynamic control system (12 minutes and 50 seconds)
Chapter 88：Fuzzy neural network control system 4. Reversing and warehousing control system (15 minutes and 4 seconds)
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