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Chapter 5 Dynamic and Closed-Loop Control

Chapter 5 Dynamic and Closed-Loop Control

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f control input K matrix of state feedback gains L matrix of observer gains n sensor noise q state vector: this may be a vector of velocities (u,v,w),or may contain other variables such as pressure and density, de-pending on the problem q. c. state estimate Q weights on the state vector, for LQR cost function Q. e. process noise covariance matrix

  Control, Noise

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