The creation and implementation of system optimisation is being driven by the commercial need to exploit increasingly narrow profit margins in a globalised and competitive world. To achieve this, businesses must satisfy the level of quality demanded by the market with the lowest possible cost in energy and raw materials – while complying with...
In many areas of engineering, the development of optimal designs has become the search for a compromise between specifications that must be simultaneously satisfied. In general, the specifications that must be met are opposing, and so the conventional concept of optimal design becomes untenable. Problems become multi-objective optimisation...
Artificial intelligence tools (such as evolutionary algorithms, and fuzzy logic algorithms) are useful for solving the more complex problems that arise in identification, modelling, and process control. These tools can help answer the following questions: How to optimally tune a multivariable predictive controller? How to adjust the parameters of...
Predictive control, also known in the industry as multivariable control or advanced control, is a control strategy that has been accepted in the process industry in recent decades as the best option for controlling processes with multiple inputs and outputs while satisfying operational constraints. Linear predictive control strategies are...