Control Theory:  Adaptive control Control theory Digital control Nonlinear control Optimal control Intelligent control Neural networks Fuzzy control Model predictive control  System Properties:  Exponential stability Marginal stability BIBO stability Lyapunov stability (i.e., asymptotic stability) Input-to-state (ISS) stability Controllability Observability Negative feedback Positive feedback  System Modeling and Analysis:  System identification State observer First principles modeling Least squares Kalman filter Root locus Extended Kalman filter Signal-flow graph State space representation Artificial neural networks  Controllers:  Closed-loop controller PID controller Programmable logic controller Embedded controller Field oriented controller Direct torque controller Digital signal controller Pulse-width modulation controller  Control Applications:  Industrial Control Systems Process Control Distributed Control System Mechatronics Motion control Supervisory control (SCADA)
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