Control: Optimal (Linear Quadratic) Control Example in Matlab (Lectures on Advanced Control Systems)

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Optimal (linear quadratic) control (also known as linear quadratic regulator or LQR) is a control technique that is used to design optimal controllers for linear time-invariant systems. The objective of this technique is to minimize a quadratic cost function that is defined using the state and control inputs of the system, where this cost function represents a trade-off between the performance of the system states and the control effort required to achieve that performance. This technique is widely used in control systems engineering owing to its simplicity, robustness, and ability to handle large-scale systems. This video presents a Matlab simulation example about this technique and provide important tuning details about it.

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