Feasibility Analysis of Digitally Controlled On-Off Predictive Adaptive Control Systems,
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)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1970
- Accession Number
- AD0717102
Entities
People
- Hans Meyer
- Howard Kaufman
- Michael J Howard
Organizations
- Rensselaer Polytechnic Institute