Sequential convexification method for model predictive control of nonlinear systems with continuous and discrete elements of operations
US11643982B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2021 |
| Grant date | May 9, 2023 |
| Priority date | — |
| Expiry date | Nov 18, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2050/0008
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
To control a hybrid dynamical system, a predictive feedback controller formulates a mixed-integer nonlinear programming (MINLP) problem including nonlinear functions of continuous optimization variables representing the continuous elements of the operation of the hybrid dynamical system and/or one or multiple linear functions of integer optimization variables representing the discrete elements of the operation of the hybrid dynamical system. The MINLP problem is formulated into a separable format ensuring that the discrete elements of the operation are present only in the linear functions of the MINLP problem. The MINLP problem is solved over multiple iterations using a partial convexification of a portion of a space of the solution including a current solution guess. The partial convexification produces a convex approximation of the nonlinear functions of the MINLP without approximating the linear functions of the MINLP to produce a partially convexified MINLP.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.