Receding horizon control applied to optimal mine planning
Automatica (Journal of IFAC)
Set Membership approximation theory for fast implementation of Model Predictive Control laws
Automatica (Journal of IFAC)
Brief paper: Symmetry between constrained reference tracking and constrained state estimation
Automatica (Journal of IFAC)
Geometrical Analysis of Model Predictive Control: A Parameterized Polyhedra Approach
Numerical Analysis and Its Applications
Quantization of filter bank frame expansions through moving horizon optimization
IEEE Transactions on Signal Processing
Receding horizon control for temporal logic specifications
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Regularized Total Least Squares: Computational Aspects and Error Bounds
SIAM Journal on Matrix Analysis and Applications
Automatica (Journal of IFAC)
Brief paper: Set membership approximation of discontinuous nonlinear model predictive control laws
Automatica (Journal of IFAC)
Probabilistic set invariance and ultimate boundedness
Automatica (Journal of IFAC)
Temporal sampling issues in discrete nonlinear filtering
Automatica (Journal of IFAC)
Decentralized-coordinated model predictive control for a hydro-power valley
Mathematics and Computers in Simulation
Generalized terminal state constraint for model predictive control
Automatica (Journal of IFAC)
An integrated robust probing motion planning and control scheme: A tube-based MPC approach
Robotics and Autonomous Systems
Predictive metamorphic control
Automatica (Journal of IFAC)
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Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control. - Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.