Abstract
Sparse matrix applications in computer-aided control systems design (CACSD) are described. A sparse matrix data structure is described and used in subsequent algorithms for the matrix exponential, linear simulation, and frequency response matrix calculations. The sparse matrix techniques require no special computer hardware such as aprallel or vector processors. The algorithms are applied to several typical aircraft flight control system state models. Comparison of the CPU timing results with CPU times for implementations of the same algorithms that do not take advantage of the sparsity of the state models show that significant CPU savings can be realized. FORTRAN code segments illustrating the sparse matrix operations are given. >
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
