Modern Predictive Control

ISBN: 9781138117693 出版年：2018 页码：293 Baocang, Ding CRC Press

Systems, modeling and model predictive control Systems Modeling State space model and input/output model Discretization of continuous-time systems Model predictive control (MPC) and its basic properties Three typical optimal control problems of MPC Finite-horizon control: an example based on "three principles" Infinite-horizon control: an example of dual-mode suboptimal control Development from classical MPC to synthesis approaches Model algorithmic control (MAC) Principle of MAC Constraint handling The usual pattern for implementation of MPC Dynamic matrix control (DMC) Step response model and its identification Principle of DMC Constraint handling Generalized predictive control (GPC) Principle of GPC Some basic properties Stability results not related to the concrete model coefficients Cases of multivariable systems and constrained systems GPC with terminal equality constraint Two-step model predictive control Two-step GPC Stability of two-step GPC Region of attraction by using two-step GPC Two-step state feedback MPC (TSMPC) Stability of TSMPC Design of the region of attraction of TSMPC based on semiglobal stability Two-step output feedback model predictive control (TSOFMPC) Stability of TSOFMPC TSOFMPC: case where the intermediate variable is available Sketch of synthesis approaches of MPC General idea: case discrete-time systems General idea: case continuous-time systems Realizations General idea: case uncertain systems (robust MPC) Robust MPC based on closed-loop optimization A concrete realization: case continuous-time nominal systems State feedback synthesis approaches System with polytopic description, linear matrix inequality On-line approach based on min-max performance cost: case zero-horizon Off-line approach based on min-max performance cost: case zero-horizon Off-line approach based on min-max performance cost: case varying-horizon Off-line approach based on nominal performance cost: case zero-horizon Off-line approach based on nominal performance cost: case varying-horizon Synthesis approaches with finite switching horizon Standard approach for nominal systems Optimal solution to infinite-horizon constrained linear quadratic control utilizing synthesis approach of MPC On-line approach for nominal systems Quasi-optimal solution to the infinite-horizon constrained linear time-varying quadratic regulation utilizing synthesis approach of MPC On-line approach for systems with polytopic description Parameter-dependent on-line approach for systems with polytopic description Open-loop optimization and closed-loop optimization in synthesis approaches A simple approach based on partial closed-loop optimization Triple-mode approach Mixed approach Approach based on single-valued open-loop optimization and its deficiencies Approach based on parameter-dependent open-loop optimization and its properties Approach with unit switching horizon Output feedback synthesis approaches Optimization problem: case systems with input-output (I/O) nonlinearities Conditions for stability and feasibility: case systems with I/O nonlinearities Realization algorithm: case systems with I/O nonlinearities Optimization problem: case systems with polytopic description Optimality, invariance and constraint handling: case systems with polytopic description Realization algorithm: case systems with polytopic description Bibliography Index