His scientific interests lie mostly in Control theory, Mathematical optimization, Model predictive control, Nonlinear system and Control engineering. His Nonlinear control, Observer, Control theory, Exponential stability and Adaptive control investigations are all subjects of Control theory research. The various areas that he examines in his Mathematical optimization study include Computational complexity theory and Piecewise linear function.
His studies in Model predictive control integrate themes in fields like Time complexity, Algorithm and Partition. Tor Arne Johansen usually deals with Nonlinear system and limits it to topics linked to System identification and Artificial neural network. His work carried out in the field of Control engineering brings together such families of science as Control system, Actuator, Vehicle dynamics and Motion control.
The scientist’s investigation covers issues in Control theory, Nonlinear system, Model predictive control, Mathematical optimization and Control engineering. His research in Control theory, Exponential stability, Observer, Actuator and Kalman filter are components of Control theory. His work deals with themes such as Estimation theory and System identification, which intersect with Nonlinear system.
Tor Arne Johansen combines subjects such as State space, Piecewise linear function, Computation and Nonlinear programming with his study of Model predictive control. His Mathematical optimization study combines topics from a wide range of disciplines, such as Computational complexity theory and Linear system. His Control engineering research is multidisciplinary, relying on both Control system, Control and Dynamic positioning.
His primary areas of investigation include Control theory, Model predictive control, Kalman filter, Real-time computing and Nonlinear system. His research in Control theory intersects with topics in Inertial navigation system and Airspeed. His study in Model predictive control is interdisciplinary in nature, drawing from both Control system, Mathematical optimization and Trajectory.
His research in Real-time computing intersects with topics in GNSS applications, Motion planning and Payload. Specifically, his work in Nonlinear system is concerned with the study of Linearization. Control theory is a subfield of Control engineering that Tor Arne Johansen explores.
His primary areas of study are Control theory, Model predictive control, Kalman filter, Real-time computing and Nonlinear system. His Payload research extends to Control theory, which is thematically connected. His Model predictive control research is multidisciplinary, incorporating perspectives in Control system, Control theory, Mathematical optimization, Base load power plant and Load management.
His work on Extended Kalman filter as part of his general Kalman filter study is frequently connected to Slip and Observational error, thereby bridging the divide between different branches of science. His studies in Real-time computing integrate themes in fields like Communications protocol and Motion planning. His Nonlinear system research is multidisciplinary, relying on both Alpha beta filter and Electronic engineering.
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Multiple Model Approaches to Modelling and Control
Roderick Murray-Smith;Tor Arne Johansen.
Control allocation—A survey
Tor Arne Johansen;Thor I. Fossen.
Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Petter TøNdel;Tor Arne Johansen;Alberto Bemporad.
Constructing NARMAX models using ARMAX models
Tor A. Johansen;Bjarne Foss.
International Journal of Control (1993)
Technical Communique: Evaluation of piecewise affine control via binary search tree
P. TøNdel;T. A. Johansen;A. Bemporad.
On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
T.A. Johansen;R. Shorten;R. Murray-Smith.
IEEE Transactions on Fuzzy Systems (2000)
Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming
T.A. Johansen;T.I. Fossen;S.P. Berge.
IEEE Transactions on Control Systems and Technology (2004)
Operating regime based process modeling and identification
Tor A. Johansen;Bjarne A. Foss.
Computers & Chemical Engineering (1997)
Identification of non-linear system structure and parameters using regime decomposition
Tor A. Johansen;Bjarne A. Foss.
Gain-scheduled wheel slip control in automotive brake systems
T.A. Johansen;I. Petersen;J. Kalkkuhl;J. Ludemann.
IEEE Transactions on Control Systems and Technology (2003)
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