Aspen DMC3

Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can implement single- and multi-stage nonlinear MPC. The toolbox provides deployable optimization solvers and also enables you to use a custom solver. You can evaluate controller performance in MATLAB® and Simulink by running closed-loop simulations. For automated driving, you can also use the provided MISRA C®- and ISO 26262-compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications. Design implicit, gain-scheduled, and adaptive MPC controllers that solve a quadratic programming (QP) problem. Generate an explicit MPC controller from an implicit design. Use discrete control set MPC for mixed-integer QP problems.

AVEVA APC is model predictive advanced process control that improves your process economics. In today’s economic environment, manufacturers are faced with reduced capital budgets and overhead, rising manufacturing and energy costs, and intense global competition. Comprehensive Advanced Process Control from AVEVA, helps you address complex manufacturing challenges with state-of-the-art automatic control solutions that can extract maximum value from your processes. It can improve production yield and quality and reduce energy consumption. It can help you optimize manufacturing operations and make the performance improvements you need to improve your bottom line continuously. AVEVA APC is a comprehensive model predictive advanced process control software that improves process profitability by enhancing quality, increasing throughput, and reducing energy usage. It uses modern, state-of-the-art technology to provide automatic control systems that are capable of releasing process potential.