Accession Number : AD0717102

Title :   Feasibility Analysis of Digitally Controlled On-Off Predictive Adaptive Control Systems,

Corporate Author : RENSSELAER POLYTECHNIC INST TROY N Y SYSTEMS ENGINEERING DIV

Personal Author(s) : Kaufman,Howard ; Meyer,Hans ; Howard,Michael

Report Date : 1970

Pagination or Media Count : 6

Abstract : The desirability of reducing the error and error rate of a given plant, with limited power capabilities, to zero in minimum time is evident in many final value and attitude control problems. The paper discusses two different techniques for offline computation of a second-order model for a given plant. Although both modeling schemes use a minimum squared error criterion, the intervals of optimization and the subsequent minimization algorithms differ considerably. (Author)

Descriptors :   (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), TRANSFER FUNCTIONS, INTEGRALS, PARTIAL DIFFERENTIAL EQUATIONS, CONVERGENCE, ERRORS, REDUCTION, OPTIMIZATION, FEASIBILITY STUDIES

Subject Categories : Numerical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE