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Unmodified filter solution generates an estimate that converges to the true equivariant errorstate e
Unmodified filter solution generates an estimate that converges to the true equivariant errorstate e
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Convex hull
Optimal adaptive robust H∞ H2 sliding mode
UT for mean and covariance propagation a) actual, b) first-order linearization (EKF) c) UT
Optimal adaptive robust H∞ H2 sliding mode
if vol(Ω∗) ≤ ϵ for Ω∗ of Ω , then ∃ T ≥ 0 so that for any x0 ∈ D the solution stays in the domain D
Optimal adaptive robust H∞ H2 sliding mode
Contraction of the distance induced The Finsler-Lyapunov function assigns a positive value to each
Optimal adaptive robust H∞ H2 sliding mode
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Planar Minkowski sums
Optimal adaptive robust H∞ H2 sliding mode
General PID controller based control system
Elektronik
Estimation of V0 condition ∃ c0 gt c0 gt 0 and a cont function ω Rn0×Rn1 →R≥0 ω(Θ(ζ1),ζ1) = 0 ∀ ζ1
Optimal adaptive robust H∞ H2 sliding mode
Illustration of set-intersection-based outer bound
Optimal adaptive robust H∞ H2 sliding mode
Convex sets and concave sets
Optimal adaptive robust H∞ H2 sliding mode
For any (x,ζ1) ∈ X ×Z1 satisfying V1(x,ζ1) ≤ ε1, then V0(x,Θ(ζ1)) ≤ ε0
Optimal adaptive robust H∞ H2 sliding mode
Planar example showing the solution trajectory passing through Ωη, generating a tubular neighborhood
Optimal adaptive robust H∞ H2 sliding mode
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