Optimal regulation in systems with stochastic time sampling
Raymond C. Montgomery, Peter Sing Lee, United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, Langley Research Center
National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1980 - Computers - 26 pages
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50 Monte Carlo airplane dynamics Cartesian product CM CM CM computation control effectors know control inputs control problems control system design control unit cost function distributed control system expected value F-8 DFBW airplane flight control system gain matrices increment Markov information indicating information update information exchange bus information update interval information update process initial conditions initial sampling interval k-stage process Langley Research Center Linear Regulator longitudinal motions Markov chain Markov information update mation updates microprocessor-based flight control microprocessors MONTE CARLO SIMULATIONS n x m NASA optimal control theory optimal cost obtained Optimal gain OPTIMAL REGULATION optimal stochastic gains probabilistic Riccati equations quasi-steady-state gains rad q randomly sampled system recursive sample space sample time interval sensitivity matrices sequences simulation results indicate solution Stationary Markov Processes statistically independent STOCHASTIC OPTIMIZATION stochastic process stochastic sampling SYSTEMS WITH STOCHASTIC Theoretical and simulation uniform sampling uniformly sampled system variable time increment Vk,i