✦ LIBER ✦

State-space interpretation of model predictive control

✍ Scribed by Jay H. Lee; Manfred Morari; Carlos E. Garcia

Book ID: 107724986
Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 960 KB
Volume: 30
Category: Article
ISSN: 0005-1098
DOI: 10.1016/0005-1098(94)90159-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A state space formulation for model pred

A state space formulation for model predictive control

✍ Sifu Li; Kian Y. Lim; D. Grant Fisher 📂 Article 📅 1989 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 612 KB

Variational Bayesian learning of nonline

Variational Bayesian learning of nonlinear hidden state-space models for model predictive control

✍ Tapani Raiko; Matti Tornio 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 309 KB

An improved structure for model predicti

An improved structure for model predictive control using non-minimal state space realisation

✍ Liuping Wang; Peter C. Young 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 470 KB

Fuzzy Predictive Functional Control in t

Fuzzy Predictive Functional Control in the State Space Domain

✍ Igor Škrjanc; Drago Matko 📂 Article 📅 2001 🏛 Springer Netherlands 🌐 English ⚖ 117 KB

Predictive Torque Control of Induction M

Predictive Torque Control of Induction Machines Based on State-Space Models

✍ Miranda, H.; Cortes, P.; Yuz, J.I.; Rodriguez, J. 📂 Article 📅 2009 🏛 IEEE 🌐 English ⚖ 662 KB

Robust steady-state target calculation f

Robust steady-state target calculation for model predictive control

✍ Dean E. Kassmann; Thomas A. Badgwell; Robert B. Hawkins 📂 Article 📅 2000 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 276 KB 👁 2 views

## Abstract In practice, model predictive control (MPC) algorithms are typically embedded within a multilevel hierarchy of control functions. The MPC algorithm itself is usually implemented in two pieces: a steady‐state target calculation followed by a dynamic optimization. A new formulation of the