Author pages are created from data sourced from our academic publisher partnerships and public sources.

- Publications
- Influence

A survey of industrial model predictive control technology

- S. Qin, T. Badgwell
- Engineering
- 1 July 2003

This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of… Expand

Disturbance modeling for offset-free linear model predictive control

- K. Muske, T. Badgwell
- Mathematics
- 1 August 2002

Abstract An offset-free controller is one that drives controlled outputs to their desired targets at steady state. In the linear model predictive control (MPC) framework, offset-free control is… Expand

Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview

- F. Allgöwer, T. Badgwell, J. Qin, J. Rawlings, Stephen J. Wright
- Computer Science
- 1999

In the past decade model predictive control (MPC) has become a preferred control strategy for a large number of processes. The main reasons for this preference include the ability to handle… Expand

An Overview of Industrial Model Predictive Control Technology

- T. Badgwell
- 1997

This paper provides an overview of commercially available Model Predictive Control (MPC) technology, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is… Expand

- 547
- 16

An Overview of Nonlinear Model Predictive Control Applications

- S. Qin, T. Badgwell
- Engineering
- 2000

This paper provides an overview of nonlinear model predictive control (NMPC) applications in industry, focusing primarily on recent applications reported by NMPC vendors. A brief summary of NMPC… Expand

Robust model predictive control of stable linear systems

- T. Badgwell
- Mathematics
- 1997

A new robust model predictive control (MPC) algorithm is presented for stable, constrained, linear plants that is a direct generalization of the nominally stabilizing regulator presented by Rawlings… Expand

Robust Steady-State Targets for Model Predictive Control

- D. Kassmann, T. Badgwell
- Mathematics
- 1 June 2000

Abstract In practice, Model Predictive Control (MPC) algorithms are typically embedded within a multi-level hierarchy of control functions. The MPC algorithm itself is usually implemented in two… Expand

Nonlinear predictive control and moving horizon estimation

- T. Badgwell, Joe Qin, J. Rawlings, Stephen J. Wright
- Computer Science
- 1999

- 31
- 4

Robust Stability Conditions for SISO Model Predictive Control Algorithms

- T. Badgwell
- Mathematics, Computer Science
- Autom.
- 1 July 1997

Abstract This paper presents a new method for deriving robust stability conditions for single-input/single-output (SISO) model predictive control algorithms, based on an application of Jury's… Expand

Disturbance model design for linear model predictive control

- T. Badgwell, K. Muske
- Computer Science
- Proceedings of the American Control Conference…
- 8 May 2002

Model predictive control (MPC) algorithms typically use a constant output bias for feedback, which can be interpreted by assuming that a constant disturbance perturbs the process output. This… Expand