Control theory, Mathematical optimization, Model predictive control, Optimal control and Nonlinear system are his primary areas of study. His work deals with themes such as Robot kinematics, Iterative method, Computation and Motion control, which intersect with Control theory. His Mathematical optimization research incorporates elements of Convex function, Nonlinear programming, Robustness and Convex optimization.
His Model predictive control research incorporates themes from Nonlinear control, Control engineering, Algorithm, Software and Solver. He interconnects Robust optimization, Optimization problem, Set and Pareto principle in the investigation of issues within Optimal control. His research in Nonlinear system intersects with topics in Differential algebraic equation, Wind speed, Power and Direct multiple shooting method.
Moritz Diehl spends much of his time researching Control theory, Model predictive control, Mathematical optimization, Optimal control and Nonlinear system. His Control theory research focuses on Wind power and how it relates to Aerospace engineering, Airfoil, Energy and Wind speed. His Model predictive control research is multidisciplinary, incorporating perspectives in Control engineering, Algorithm, Nonlinear model and Solver.
His Mathematical optimization study integrates concerns from other disciplines, such as Nonlinear programming and Convex optimization. His Optimal control research is multidisciplinary, incorporating elements of Discretization, Power, Robust control and Direct multiple shooting method. The various areas that Moritz Diehl examines in his Nonlinear system study include Estimation theory, Computation and Applied mathematics.
His primary areas of study are Model predictive control, Control theory, Mathematical optimization, Optimal control and Applied mathematics. His Model predictive control study combines topics from a wide range of disciplines, such as Stability, Nonlinear model, Nonlinear system, Control theory and Extension. His work in Nonlinear system addresses subjects such as Computation, which are connected to disciplines such as Software.
His work on Trajectory as part of general Control theory research is frequently linked to Central processing unit, Grey box model and Flux linkage, thereby connecting diverse disciplines of science. Moritz Diehl combines subjects such as Homotopy, Collision avoidance and Motion planning with his study of Mathematical optimization. His studies deal with areas such as Wind power, Actuator, Algorithm and Sequential quadratic programming as well as Optimal control.
His scientific interests lie mostly in Model predictive control, Optimal control, Mathematical optimization, Nonlinear system and Algorithm. His Model predictive control research includes elements of Control theory, Nonlinear model, Quadratic programming, Software and Contraction. His work on Stability and Control theory as part of general Control theory study is frequently linked to Software framework, bridging the gap between disciplines.
Moritz Diehl has researched Optimal control in several fields, including Nonlinear programming, Battery, Integer, Differential equation and Stochastic model predictive control. His Mathematical optimization study combines topics in areas such as Nonlinear dynamic systems, Motion planning and Motion. His studies in Algorithm integrate themes in fields like Initialization and Trajectory.
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ACADO toolkit—An open-source framework for automatic control and dynamic optimization
Boris Houska;Hans Joachim Ferreau;Moritz Diehl.
Optimal Control Applications & Methods (2011)
qpOASES: a parametric active-set algorithm for quadratic programming
Hans Joachim Ferreau;Christian Kirches;Andreas Potschka;Hans Georg Bock.
Mathematical Programming Computation (2014)
Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
Moritz Diehl;H.Georg Bock;Johannes P. Schlöder;Rolf Findeisen.
Journal of Process Control (2002)
CasADi: a software framework for nonlinear optimization and optimal control
Joel A. E. Andersson;Joris Gillis;Greg Horn;James B. Rawlings.
Mathematical Programming Computation (2019)
An online active set strategy to overcome the limitations of explicit MPC
Hans Joachim Ferreau;H. G Bock;Moritz Diehl.
International Journal of Robust and Nonlinear Control (2008)
Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
Moritz Diehl;Hans Joachim Ferreau;Niels Haverbeke.
Lecture Notes in Control and Information Sciences (2009)
A Lyapunov Function for Economic Optimizing Model Predictive Control
M Diehl;R Amrit;J B Rawlings.
IEEE Transactions on Automatic Control (2011)
A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control
Moritz Diehl;Hans Georg Bock;Johannes P. Schlöder.
Siam Journal on Control and Optimization (2005)
Time-Optimal Path Tracking for Robots: A Convex Optimization Approach
D. Verscheure;B. Demeulenaere;J. Swevers;J. De Schutter.
IEEE Transactions on Automatic Control (2009)
An auto-generated real-time iteration algorithm for nonlinear MPC in the microsecond range
Boris Houska;Hans Joachim Ferreau;Moritz Diehl.
Profile was last updated on December 6th, 2021.
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