Optimal, real-time control-colliders

With reasonable definitions, optimal control is possible for both classical and quantal systems with 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 tolerance and design constraints. Simulations, however, using 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.<>