Consider an uncertain system i(t) = x(t) + u(t), where the c;'s are constants with unknown C2 values but known bounds c, < c; < č;. It is also known that ca > 0. Can you design a state feedback controller u(t) = -Kx(t) that robustly stabilizes this uncertain system for all possible values of the c;'s?
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
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K1 and K2 need to be expressed in terms of the Ci lower bar and upper bar, not the Ci themselves.
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