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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