#### Filter Results:

- Full text PDF available (59)

#### Publication Year

1982

2017

- This year (2)
- Last 5 years (30)
- Last 10 years (59)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Method

Learn More

- David Q. Mayne, James B. Rawlings, Christopher V. Rao, Pierre O. M. Scokaert
- Automatica
- 2000

Model predictive control is a form of control in which the current control action is obtained by solving, at each sampling instant, a "nite horizon open-loop optimal control problem, using theâ€¦ (More)

- Christopher V. Rao, James B. Rawlings, David Q. Mayne
- IEEE Trans. Automat. Contr.
- 2003

State estimator design for a nonlinear discrete-time system is a challenging problem, further complicated when additional physical insight is available in the form of inequality constraints on theâ€¦ (More)

- David Angeli, Rishi Amrit, James B. Rawlings
- IEEE Transactions on Automatic Control
- 2012

Control performance and cost optimization can be conflicting goals in the management of industrial processes. Even when optimal or optimization-based control synthesis tools are applied, the economicâ€¦ (More)

This paper is a contribution to the theory of the infinitehorizon linear quadratic regulator (LQR) problem subject to inequality constraints on the inputs and states, extending an approach firstâ€¦ (More)

- Pierre O. M. Scokaert, David Q. Mayne, James B. Rawlings
- IEEE Trans. Automat. Contr.
- 1999

Practical difficulties involved in implementing stabilizing model predictive control laws for nonlinear systems are well known. Stabilizing formulations of the method normally rely on the assumptionâ€¦ (More)

- Moritz Diehl, Rishi Amrit, James B. Rawlings
- IEEE Transactions on Automatic Control
- 2011

Standard model predictive control (MPC) yields an asymptotically stable steady-state solution using the following procedure. Given a dynamic model, a steady state of interest is selected, a stageâ€¦ (More)

- Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, Stephen J. Wright
- IEEE Transactions on Control Systems Technology
- 2008

A distributed model predictive control (MPC) framework, suitable for controlling large-scale networked systems such as power systems, is presented. The overall system is decomposed into subsystems,â€¦ (More)

Model predictiÂ®e control algorithms achieÂ®e offset-free control objectiÂ®es by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump theâ€¦ (More)

- Brett T. Stewart, Aswin N. Venkat, James B. Rawlings, Stephen J. Wright, Gabriele Pannocchia
- Systems & Control Letters
- 2010

In this paper we propose a cooperative distributed linear model predictive control strategy applicable to any finite number of subsystems satisfying a stabilizability condition. The control strategyâ€¦ (More)

- Christopher V. Rao, James B. Rawlings, Jay H. Lee
- Automatica
- 2001

This article considers moving horizon strategies for constrained linear state estimation. Additional information for estimating state variables from output measurements is often available in the formâ€¦ (More)