Rolf Findeisen spends much of his time researching Model predictive control, Control theory, Nonlinear system, Control engineering and Mathematical optimization. The study incorporates disciplines such as Control theory, Linear system, Nonlinear model and Optimal control in addition to Model predictive control. Stability, Observer, Discrete time and continuous time, Control system and Robust control are the core of his Control theory study.
His Nonlinear system study combines topics from a wide range of disciplines, such as Linear programming and Separable space. His research integrates issues of Robot, Control, Actuator and Linear model predictive control in his study of Control engineering. His work on Semidefinite programming as part of general Mathematical optimization research is often related to Mathematical proof, thus linking different fields of science.
His primary areas of investigation include Control theory, Model predictive control, Mathematical optimization, Nonlinear system and Control theory. Rolf Findeisen regularly links together related areas like Control in his Control theory studies. His Model predictive control course of study focuses on Nonlinear model and Fractionating column.
Rolf Findeisen has included themes like Estimation theory, Bounded function, Robust control and System dynamics in his Mathematical optimization study. His study in Nonlinear system is interdisciplinary in nature, drawing from both State, Actuator, Linear programming, Observability and Trajectory. His studies deal with areas such as Control system, Constraint satisfaction and State as well as Stability.
His primary scientific interests are in Control theory, Model predictive control, Control theory, Gaussian process and Electric power system. His Optimal control, Robustness, Nonlinear system and Actuator study, which is part of a larger body of work in Control theory, is frequently linked to Constant, bridging the gap between disciplines. His work carried out in the field of Nonlinear system brings together such families of science as Dynamical systems theory and Bounded function.
The various areas that Rolf Findeisen examines in his Model predictive control study include Stability, Robot, Constraint satisfaction and Mathematical optimization. His Mathematical optimization research is multidisciplinary, relying on both Flux balance analysis and If and only if. He has researched Control theory in several fields, including Quadcopter and Obstacle avoidance.
Control theory, Model predictive control, Control theory, Optimal control and Robustness are his primary areas of study. His Control theory study frequently intersects with other fields, such as State. His Model predictive control research is multidisciplinary, incorporating perspectives in Robot and Biochemical engineering.
His Control theory study integrates concerns from other disciplines, such as Control system, Quadcopter, Transmission and Stability. His studies in Quadcopter integrate themes in fields like Control engineering, Hierarchical database model, Obstacle avoidance and Integer programming. His Optimal control study is focused on Mathematical optimization in general.
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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)
An Introduction to Nonlinear Model Predictive Control
Rolf Findeisen;Frank Allgöwer.
Robust output feedback model predictive control of constrained linear systems
D. Q. Mayne;S. V. Raković;R. Findeisen;F. AllgöWer.
State and output feedback nonlinear model predictive control: An overview
Rolf Findeisen;Lars Imsland;Frank Allgower;Bjarne A. Foss.
European Journal of Control (2003)
Nonlinear Model Predictive Control: From Theory to Application
Frank Allgöwer;Rolf Findeisen;Zoltan K. Nagy.
Journal of The Chinese Institute of Chemical Engineers (2004)
Electrochemical Model Based Observer Design for a Lithium-Ion Battery
R. Klein;N. A. Chaturvedi;J. Christensen;J. Ahmed.
IEEE Transactions on Control Systems and Technology (2013)
Nominal stability of real-time iteration scheme for nonlinear model predictive control
Moritz Diehl;Rolf Findeisen;Frank Allgower;Hans Georg Bock.
IEE Proceedings - Control Theory and Applications (2005)
Brief paper: Robust output feedback model predictive control of constrained linear systems: Time varying case
D. Q. Mayne;S. V. Raković;R. Findeisen;F. Allgöwer.
Assessment and Future Directions of Nonlinear Model Predictive Control
Rolf Findeisen;Frank Allgöwer;Lorenz T. Biegler.
Stochastic nonlinear model predictive control with probabilistic constraints
Ali Mesbah;Stefan Streif;Rolf Findeisen;Richard D. Braatz.
advances in computing and communications (2014)
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