Control Systems

Continuous Control refers to a method of maintaining and adjusting system performance in real-time using ongoing feedback.

An Extended Kalman Filter is an algorithm used for estimating the state of a nonlinear dynamic system.

A Finite State Controller is a computational model that manages states and transitions in systems, commonly used in AI and robotics.

A fuzzy control system uses fuzzy logic to manage complex systems with uncertain or imprecise inputs.

Fuzzy logic is a form of logic that deals with reasoning that is approximate rather than fixed and exact.

Intelligent control uses AI to enhance decision-making and automatic adjustments in dynamic systems.

Kalman Gain is a factor used in the Kalman filter that balances the weight of new measurements and predictions.

A linear system is a mathematical model where output is directly proportional to input, commonly used in control theory and signal processing.

A control strategy that uses a model to predict future outcomes and optimize performance over time.

A negative feedback loop is a process that reduces the output of a system to maintain stability.

Neural Control refers to the framework of using neural networks for managing and directing systems.

Open-Loop Control is a control system that operates without feedback to adjust its actions.

Oscillation refers to the repetitive variation in a system, often seen in waves or periodic functions.