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.
Linear Pseudospectral Guidance Method for Eliminating General Nominal Effort Miss Distance
Steady Glide Dynamics and Guidance of Hypersonic Vehicle ; Kapitel : 15 ; 365-388
08.11.2020
24 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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