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Advanced Control Strategies
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Stochastic Control
A control method that considers randomness and uncertain elements within the system or environment. Benefits include improved performance in systems with noise or uncertainties.
Sliding Mode Control
A nonlinear control method that alters the system's dynamics by forcing the system states onto a predefined sliding surface. Benefits include high robustness to parameter variations and disturbances.
Feedforward Control
Control strategy that uses external disturbance measurements to preemptively adjust the control action, often used alongside feedback control. Benefits include improved disturbance rejection.
Model Predictive Control (MPC)
A control strategy that uses a dynamic model of the process to predict and optimize control actions. Benefits include handling multi-variable interactions and constraints effectively.
Cascade Control
A control system that uses a series of controllers, where each controller depends on the performance of the previous one. Benefits include faster response and improved stability in the presence of disturbances.
Adaptive Control
Control strategy that adjusts its parameters in real-time to adapt to changes in the system or environment. Benefits include robustness to system variations and uncertainties.
Nonlinear Control
A set of control strategies designed to deal with systems that have nonlinearities. Benefits include increased accuracy and stability in the control of nonlinear systems.
Gain Scheduling
A form of adaptive control where control law parameters change in predefined ways at different operating points. Benefits include better handling of nonlinear system behavior across a wide operating range.
Predictive Functional Control (PFC)
A predictive control technique emphasizing simplicity and speed, using a functional prediction model. Benefits include good process control performance and easier implementation.
Intelligent Control
A class of control techniques that use various artificial intelligence methods. Benefits include dealing with complex systems where traditional models or methods are insufficient.
Optimal Control
A mathematical approach to choosing a control policy that minimizes a cost function over time. Benefits include the efficient use of resources and energy, as well as superior system performance.
Robust Control
A type of control strategy that ensures performance under a variety of uncertain conditions. Benefits include maintaining stability and performance despite model inaccuracies or external disturbances.
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