Optimal, real-time control--colliders

Conference · Wed May 01 00:00:00 EDT 1991

OSTI ID:5843102

Spencer, J E

With reasonable definitions, optimal control is possible for both classical and quantal systems with new approaches called PISC(Parallel) and NISC(Neural) from analogy with RISC (Reduced Instruction Set Computing). If control equals interaction, observation and comparison to some figure of merit with interaction via external fields, then optimization comes from varying these fields to give design or operating goals. Structural stability can then give us tolerance and design constraints. But simulations use simplified models, are not in real-time and assume fixed or stationary conditions, so optimal control goes far beyond convergence rates of algorithms. It is inseparable from design and this has many implications for colliders. 12 refs., 3 figs.

• Research Organization: Stanford Linear Accelerator Center, Menlo Park, CA (USA)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (USA)
• DOE Contract Number: AC03-76SF00515
• OSTI ID: 5843102
• Report Number(s): SLAC-PUB-5543; CONF-910505-83; ON: DE91012320
• Resource Relation: Conference: 1991 Institute of Electrical and Electronics Engineers (IEEE) particle accelerator conference (PAC), San Francisco, CA (USA), 6-9 May 1991
• Country of Publication: United States
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTERIZED CONTROL SYSTEMS
REAL TIME SYSTEMS
LINEAR COLLIDERS
OPTIMIZATION
ACCELERATORS
CONTROL SYSTEMS
LINEAR ACCELERATORS
430303* - Particle Accelerators- Experimental Facilities & Equipment
990200 - Mathematics & Computers