
Four processor array architectures for the implementation of the generalized predictive control (GPC) algorithm are introduced. The first is derived by interconnecting the arrays required for the execution of GPC partial algorithms, while the remaining three are found by mapping the separate arrays sequentially onto one. The exposed architectures allow a remarkable reduction in the execution time of a complete cycle of the GPC algorithm, compared with the solution on a single general-purpose processor. It is also emphasized that the GPC partial algorithms and the corresponding array architectures form the basis of unified hardware environment for fast execution of most existing control laws.
generalized predictive control algorithm, Design techniques (robust design, computer-aided design, etc.), Hardware implementations of nonnumerical algorithms (VLSI algorithms, etc.), parallel algorithms, processor array architectures, Control/observation systems involving computers (process control, etc.)
generalized predictive control algorithm, Design techniques (robust design, computer-aided design, etc.), Hardware implementations of nonnumerical algorithms (VLSI algorithms, etc.), parallel algorithms, processor array architectures, Control/observation systems involving computers (process control, etc.)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
