This is a tutorial on the mathematical theory and process control applications of linear matrix
inequalities (LMIs) and bilinear matrix inequalities (BMIs). Many convex inequalities …

This book provides a comprehensive treatment of the principles underlying optimal
constrained control and estimation. The contents progress from optimisation theory, fixed …

The practicality of model predictive control (MPC) is partially limited by its ability to solve
optimization problems in real time. Moreover, on-line computational demand for …

This paper proposes coordinated control of blade pitch angle of wind turbine generators and
plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model …

Renewable energy sources (RESs), such as wind and solar generations, equip inverters to
connect to the microgrids. These inverters do not have any rotating mass, thus lowering the …

Sheet and film processes include polymer film extrusion, coating processes of many types,
paper manufacturing, sheet metal rolling, and plate glass manufacture. Identification …

Uninterruptible power supplies (UPSs) have been used in many installations for critical
loads that cannot afford power failure or surge during operation. It is often difficult to upgrade …

Quadratic programming (QP) methods are an important element in the application of model
predictive control (MPC). As larger and more challenging MPC applications are considered …

Distributed parameter systems (DPSs) constitute an important class of systems that include
many industrial processes modeled by partial differential equations (PDEs). Model …

This paper presents a constraint aggregation approach for Nonlinear Model Predictive
Control (NMPC). Constraint aggregation functions provide an approximation of the feasible …