Sequential hierarchical least-squares programming for prioritized non-linear optimal control
K Pfeiffer, A Kheddar - Optimization Methods and Software, 2024 - Taylor & Francis
We present a sequential hierarchical least-squares programming solver with trust-region
and hierarchical step-filter with application to prioritized discrete non-linear optimal control. It …
and hierarchical step-filter with application to prioritized discrete non-linear optimal control. It …
[图书][B] Detection and Optimization Algorithms for Cyber-Physical Systems
PIB Hespanhol - 2020 - search.proquest.com
Abstract Cyber-Physical Systems (CPS) play an ubiquitous role in operation and control in
many different domains: power systems, finance, robotics, and automation. The complex …
many different domains: power systems, finance, robotics, and automation. The complex …
Detection and Optimization Algorithms for Cyber-Physical Systems
PI Bastos Hespanhol - 2020 - escholarship.org
Cyber-Physical Systems (CPS) play an ubiquitous role in operation and control in many
different domains: power systems, finance, robotics, and automation. The complex interplay …
different domains: power systems, finance, robotics, and automation. The complex interplay …
An Improved Sequential Quadratic Programming Method Based on Positive Constraint Sets.
L Xia, J Ling, R Bi, W Zhao, X Cao… - CET Journal-Chemical …, 2020 - search.ebscohost.com
SQP (sequential quadratic programming) is an effective method to solve nonlinear constraint
problems, widely used in chemical process simulation optimization. At present, most …
problems, widely used in chemical process simulation optimization. At present, most …