
This paper proposes a form of MPC in which the control variables are moved asynchronously. This contrasts with most MIMO control schemes, which assume that all variables are updated simultaneously. MPC outperforms other control strategies through its ability to deal with constraints. This requires on-line optimization, hence computational complexity can become an issue when applying MPC to complex systems with fast response times. The multiplexed MPC scheme described in this paper solves the MPC problem for each subsystem sequentially, and updates subsystem controls as soon as the solution is available, thus distributing the control moves over a complete update cycle. The resulting computational speed-up allows faster response to disturbances, which may result in improved performance, despite finding sub-optimal solutions to the original problem.
University of Cambridge, Department of Engineering, Technical Report
Multivariable systems, multidimensional control systems, Systems and Control (eess.SY), periodic systems, Electrical Engineering and Systems Science - Systems and Control, 004, 620, distributed control, multivariable control, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, constrained control, Mathematics - Optimization and Control, Computational methods in systems theory, predictive control
Multivariable systems, multidimensional control systems, Systems and Control (eess.SY), periodic systems, Electrical Engineering and Systems Science - Systems and Control, 004, 620, distributed control, multivariable control, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, constrained control, Mathematics - Optimization and Control, Computational methods in systems theory, predictive control
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