2007 - IEEE Fellow For contributions to deep ocean exploration, search and recovery and salvage
Colin N. Jones focuses on Model predictive control, Mathematical optimization, Control theory, Optimal control and Stability. His biological study spans a wide range of topics, including Convergence, Control engineering, Optimization problem, Efficient energy use and Approximation theory. His studies in Mathematical optimization integrate themes in fields like Computational complexity theory, Upper and lower bounds, Parametric programming and Affine transformation.
His work deals with themes such as Control and Terminal, which intersect with Control theory. Colin N. Jones interconnects Range, Computation, Lyapunov function and Piecewise in the investigation of issues within Optimal control. His research investigates the link between Stability and topics such as State that cross with problems in Toolbox, Computational science, Structure, MATLAB and Topology.
Colin N. Jones mainly investigates Model predictive control, Mathematical optimization, Control theory, Optimal control and Control theory. The study incorporates disciplines such as Stability, Computational complexity theory, Algorithm, Robust control and Control engineering in addition to Model predictive control. His Control engineering study incorporates themes from Control and HVAC.
His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Computation and Convex optimization. Much of his study explores Control theory relationship to Bounded function. His Linear programming research is multidisciplinary, incorporating perspectives in Parametric programming and Applied mathematics.
Colin N. Jones spends much of his time researching Model predictive control, Mathematical optimization, Control theory, Control theory and Nonlinear system. His work is dedicated to discovering how Model predictive control, Automatic frequency control are connected with Robust optimization and other disciplines. His study in Optimization problem and Optimal control is carried out as part of his Mathematical optimization studies.
The Control theory study combines topics in areas such as Peak demand, Distributed generation and Bounded function. His Nonlinear system research is multidisciplinary, relying on both Algorithm, Applied mathematics, Lipschitz continuity and Extension. His Control engineering study combines topics from a wide range of disciplines, such as Stability and Artificial neural network.
Model predictive control, Control theory, Control engineering, Control theory and Automatic frequency control are his primary areas of study. Colin N. Jones performs multidisciplinary study on Model predictive control and Signal processing in his works. His Control theory research incorporates themes from Optimization problem, Resource, Demand response and Computation.
His Control engineering study integrates concerns from other disciplines, such as Stability, Artificial neural network, Quadratic programming, Data point and Speedup. His work focuses on many connections between Control theory and other disciplines, such as Distributed generation, that overlap with his field of interest in Battery and Setpoint. Colin N. Jones studied Automatic frequency control and Robust optimization that intersect with Distributed computing, Service and HVAC.
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Use of model predictive control and weather forecasts for energy efficient building climate control
Frauke Oldewurtel;Alessandra Parisio;Colin N. Jones;Dimitrios Gyalistras.
Energy and Buildings (2012)
Multi-Parametric Toolbox 3.0
Martin Herceg;Michal Kvasnica;Colin N. Jones;Manfred Morari.
european control conference (2013)
Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions
Frauke Oldewurtel;Alessandra Parisio;Colin N. Jones;Manfred Morari.
american control conference (2010)
Efficient interior point methods for multistage problems arising in receding horizon control
Alexander Domahidi;Aldo U. Zgraggen;Melanie N. Zeilinger;Manfred Morari.
conference on decision and control (2012)
Computational Complexity Certification for Real-Time MPC With Input Constraints Based on the Fast Gradient Method
S. Richter;C. N. Jones;M. Morari.
IEEE Transactions on Automatic Control (2012)
Real-time suboptimal model predictive control using a combination of explicit MPC and online optimization
M. N. Zeilinger;C. N. Jones;M. Morari.
conference on decision and control (2008)
MPC fault-tolerant flight control case study: flight 1862
Jan M. Maciejowski;Colin N. Jones.
IFAC Proceedings Volumes (2003)
A tractable approximation of chance constrained stochastic MPC based on affine disturbance feedback
F. Oldewurtel;C.N. Jones;M. Morari.
conference on decision and control (2008)
Real-time input-constrained MPC using fast gradient methods
Stefan Richter;Colin N. Jones;Manfred Morari.
conference on decision and control (2009)
Polytopic Approximation of Explicit Model Predictive Controllers
Colin N Jones;Manfred Morari.
IEEE Transactions on Automatic Control (2010)
Profile was last updated on December 6th, 2021.
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