Title :
A segmented algorithm for solving a class of state constrained discrete optimal control problems
Author_Institution :
The Johns Hopkins University
Abstract :
A segmented algorithm for solving state constrained optimal control problems is presented. Its main feature is that it may be implemented on an array of digital computers. Such an implementation exhibits two attractive properties. The first one is that the computational time is reduced due to the parallelism of computations achieved. The second property is that a graceful degradation of performance is realized, i.e., the array produces approximate solutions in the presence of hardware faults.
Keywords :
Approximation algorithms; Computer networks; Concurrent computing; Degradation; Hardware; Microcomputers; Optimal control; Parallel processing; Robust control; State-space methods;
Conference_Titel :
Decision and Control including the 12th Symposium on Adaptive Processes, 1973 IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1973.269133
