Model predictive control (MPC) is a form of control in which the current control is obtained by on-line solving a finite horizon open-loop optimal control problem, using the current state of the plant as the initial state in the calculation [1]. It has had a tremendous impact on industrial application development in the last decades. Now, an increasing number of researchers focus their attention on the development of “fast MPC”. Different from the off-line control policy, which is devoted to obtain the control by solving a full nonlinear optimal control problem. MPC usually involves employing the neighboring optimal control problem based on linearized dynamics. In general, a two-point boundary value problem (TPBVP) is formulated to calculate the current control.


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    Title :

    Linear Pseudospectral Guidance Method for Eliminating General Nominal Effort Miss Distance


    Contributors:
    Chen, Wanchun (author) / Zhou, Hao (author) / Yu, Wenbin (author) / Yang, Liang (author)

    Published in:

    Publication date :

    2020-11-08


    Size :

    24 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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