#### Filter Results:

- Full text PDF available (20)

#### Publication Year

1997

2010

- This year (0)
- Last 5 years (0)
- Last 10 years (6)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Tor Arne Johansen, Idar Petersen, Olav Slupphaug
- Automatica
- 2002

Optimal feedback solutions to the in nite horizon LQR problem with state and input constraints based on receding horizon real-time quadratic programming are well known. In this paper we develop an explicit solution to the same problem, eliminating the need for realtime optimization. A suboptimal strategy, based on a suboptimal choice of a nite horizon and… (More)

All practical MPC implementations should have a means to recover from infeasibility. We propose an algorithm designed for linear state-space MPC which transforms an infeasible MPC optimization problem into a feasible one. The algorithm handles possible prioritizations among the constraints explicitly. Prioritized constraints can be seen as an intuitive and… (More)

- Hans Petter Bieker, Olav Slupphaug
- 2006

A mathematical program for finding the optimal oil production rates in an oil production system is developed. Each well may be manipulated by injecting lift gas and adjusting a production choke. The oil production from the wells may be restricted with multiple constraints in the maximum oil flow rate, water flow rate, liquid flow rate, and gas flow rate.… (More)

Optimal feedback solutions to the in nite-horizon LQR problem with state and input constraints based on receding horizon real-time quadratic programming are well known. In this paper we develop an explicit solution to the same problem, eliminating the need for real-time optimization. A suboptimal strategy, based on a suboptimal choice of a nite horizon and… (More)

In this paper a method for nonlinear robust stabilization based on solving a bilinear matrix inequality (BMI) feasibility problem is developed. Robustness against model uncertainty is handled. In different non-overlapping regions of the state-space known as clusters the plant is assumed to be an element in a polytope which vertices (local models) are aane… (More)

In this paper we point out potential problems in systems where both logic and continuous control in uence a continuous plant. We also propose MPC based approaches for handling the problems. Simulations on a simple but nontrivial plant support the discussion.

under the supervision of professor Michael Branicky. Acknowledgments First and foremost, I would like to thank my advisor professor Tor A. Jo-hansen for his rich source of ideas, practical insight and support throughout the entire research. I am grateful for having been given the opportunity to work on an industrial problem within the framework of a… (More)

- CONSTRAINTSJ . Vada, Olav Slupphaug, T . A . Johansen
- 1999

All practical MPC implementations should have a means to recover from infeasibility. We propose an algorithm designed for linear state-space MPC which optimally relaxes an infeasible prioritized MPC optimization problem into a feasible one by solving only one LP on-line in addition to the standard MPC optimization problem. By optimal it is meant that the… (More)

In this paper we investigate the use of model predictive control (MPC) as a means for controlling a class of sampled-data hybrid systems. A weak form of uniform asymptotical stability is established for the closed-loop. This is done by rst establishing stability results for an associated discrete-time system. Conditions for existence of a solution to the… (More)

- Jostein Vada, Olav Slupphaug, Tor Arne Johansen, Bjarne A. Foss
- Automatica
- 2001

All practical MPC implementations should have a means to recover from infeasibility. We present a recently developed infeasibility handler which computes optimal relaxations of the relaxable constraints subject to a user-de ned prioritization, by solving only a single linear program on-line in addition to the standard quadratic programming problem on-line.… (More)