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Assessment and Future Directions of Nonlinear Model Predictive ...

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62 M.V. Kothare <strong>and</strong> Z. Wanmodel e(k +1) = (A(k) − L p C(k)) e(k) with [ A(k) T C(k) T ] T∈ Ψ. For all[ ( )] T Tx, ˆx ∈ Π x <strong>and</strong> u ∈ Π u , the Jacobian matrix ∂f ( ∂h) T∈ Ψ with∂x ∂x⎡ ∂f 1⎡∂x 1··· ∂f1∂h 1∂x n∂x 1··· ∂h1∂x n∂f∂x= ⎢ . ⎣ . .. ⎥ ∂h. ⎦ <strong>and</strong>∂x= ⎢ . .⎣ . ... .⎥⎦ . It is straight forward to⎤∂f n∂x 1··· ∂fn∂x n⎤∂h q∂x 1··· ∂hq∂x nestablish the exponential convergence <strong>of</strong> the observer <strong>and</strong> the norm bound <strong>of</strong>the state estimation error within S based on the LTV model <strong>and</strong> the nonlinearmodel.

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