Anomaly-Handling in Lyapunov-Based Economic Model Predictive Control via Empirical Models
نویسندگان
چکیده
منابع مشابه
Disturbance Handling in Economic Model Predictive Control
Economic model predictive control (EMPC) is a recent development of MPC where the usual quadratic objective is replaced by an economic objective reflecting the real cost of operation (Ellis et al., 2014). The target in EMPC is hence to directly minimize the cost of operation whereas the usual target in MPC is to keep the process close to a predetermined steady-state or trajectory (sometimes det...
متن کاملLyapunov Function for Periodic Economic Optimizing Model Predictive Control
Model Predictive Control (MPC) schemes are commonly using reference-tracking cost functions, which have attractive properties in terms of stability and numerical implementation. However, many control applications have clear economic objectives that can be used directly as the NMPC cost function. Such NMPC schemes are labelled Economic NMPC. Unfortunately, Economic NMPC schemes suffer from some ...
متن کاملEconomic model predictive control designs for input rate-of-change constraint handling and guaranteed economic performance
Economic model predictive control (EMPC) has been a popular topic in the recent chemical process control literature due to its potential to improve process profit by operating a system in a time-varying manner. However, time-varying operation may cause excessive wear of the process components such as valves and pumps. To address this issue, input magnitude constraints and input rate-of-change c...
متن کاملModel Predictive Control of Nonlinear Parameter Varying Systems via Receding Horizon Control Lyapunov Functions
The problem of rendering the origin an asymptotically stable equilibrium point of a nonlinear system while, at the same time, optimizing some measure of performance has been the object of much attention in the past few years. In contrast to the case of linear systems where several optimal synthesis techniques (such as ∞, 2 and 1) are well established, their nonlinear counterparts are just start...
متن کاملEconomic Model Predictive Control of Nonlinear Process Systems Using Lyapunov Techniques
In this work, we develop model predictive control (MPC) designs, which are capable of optimizing closed-loop performance with respect to general economic considerations for a broad class of nonlinear process systems. Specifically, in the proposed designs, the economic MPC optimizes a cost function, which is related directly to desired economic considerations and is not necessarily dependent on ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2020
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2020.12.385