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A survey of industrial model predictive control technology
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 ofExpand
  • 3,980
  • 154
  • Open Access
Disturbance modeling for offset-free linear model predictive control
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 isExpand
  • 385
  • 27
Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview
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 handleExpand
  • 436
  • 23
An Overview of Industrial Model Predictive Control Technology
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 isExpand
  • 547
  • 16
An Overview of Nonlinear Model Predictive Control Applications
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 NMPCExpand
  • 450
  • 13
Robust model predictive control of stable linear systems
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 RawlingsExpand
  • 128
  • 12
Robust Steady-State Targets for Model Predictive Control
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 twoExpand
  • 40
  • 7
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'sExpand
  • 22
  • 3
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. ThisExpand
  • 22
  • 3