Control Engineering Practice 

TL;DR: An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors, is provided in this article, where a brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology.

TL;DR: A short overview of the historical development of model-based fault detection, some proposals for the terminology in the field of supervision, fault detection and diagnosis are stated, based on the work within the IFAC SAFEPROCESS Technical Committee as mentioned in this paper.

TL;DR: A guide to using artificial intelligence in the filmmaking process, as well as practical suggestions for improving the quality and efficiency of existing and new approaches.

TL;DR: An overview of multivariate statistical methods use for the statistical process control of both continuous and batch multivariate processes and examples are provided of their use for analysing the operations of a mineral processing plant, for on-line monitoring and fault diagnosis of a continuous polymerization process and for the on- line monitoring of an industrial batch polymerization reactor.

TL;DR: The state of the art of PID control is presented and its future is reflected on, including specifications, stability, design, applications, and performance.