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The Loop
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Sensitivity function s jw nyquist curve of the loop gain l jw with the critical 1 point
Sensitivity function |S(jw)| Nyquist curve of the loop gain L(jw) with the critical -1 point
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Approximation of a 2D distribution by the Sigma-Point Kalman Filtering approach
Optimal adaptive robust H∞ H2 sliding mode
Grasp matrix
Optimal adaptive robust H∞ H2 sliding mode
Illustration of set-intersection-based outer bound
Optimal adaptive robust H∞ H2 sliding mode
Lyapunov theory and contraction theory
Optimal adaptive robust H∞ H2 sliding mode
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UT for mean and covariance propagation a) actual, b) first-order linearization (EKF) c) UT
Optimal adaptive robust H∞ H2 sliding mode
Unmodified filter solution generates an estimate that converges to the true equivariant errorstate e
Optimal adaptive robust H∞ H2 sliding mode
Algorithm can correct the error in the parameters via the auto-adaptive parameter update function
Optimal adaptive robust H∞ H2 sliding mode
System states for SMC and DSMC
Optimal adaptive robust H∞ H2 sliding mode
State variable compensator with reference input and M = BN
Optimal adaptive robust H∞ H2 sliding mode
Friction cone
Optimal adaptive robust H∞ H2 sliding mode
Hybrid scheme to unite local observer and global observer
Optimal adaptive robust H∞ H2 sliding mode
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Unscented Kalman Filter (UKF)
Electrical