Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation
Abstract
The goal of this research is to develop high-performance computational tools for designing control systems for a class of complex physical systems. (1) Developed a verification algorithm for verifying control laws using phase-space geometric modeling of dynamical systems. The algorithm evolves a hierarchically-refined bound of system nonlinear dynamics and can address practical concerns such as sensor, actuator, and modeling uncertainties in a systematic manner. We have applied the algorithm to the maglev control system prototype and compared the results against the physical measurements. (2) Constructed a physical experiment to study distributed acoustic sensing. The experiment comprises an enclosed chamber measured 1.7m x 0.846m x 0.201m, and an 8-channel A/D and D/A system with 6 microphones and a speaker. (3) Started to investigate control system design and optimization for distributed parameter physical systems (systems modeled by partial differential equations). (4) Will present the control verification paper at the IFAC International Symposium on Artificial Intelligence in Real-Time Control, Grand Canyon, AZ in October. Have presented an invited tutorial at AAAI National Conference in Madison, Wisconsin, July 1998. Jeff May and Feng Zhao, "Verification of control laws using phase-space geometric modeling of dynamical systems." IFAC AIRTC-98. Feng Zhao and Chris Bailey-Kellogg, "Intelligent Simulation." AAAI-98 Tutorial Forum.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 17, 1998
- Accession Number
- ADA353610
Entities
People
- Feng Zhao
Organizations
- Ohio State University