A survey of methods for generating Liapunov functions
Methods of generating Liapunov method for application to practical nonlinear dynamical systems
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Methods of generating Liapunov method for application to practical nonlinear dynamical systems
Irradiation system for experiments with Plum Brook Reactor in nuclear rocket program, noting cryogenic system, dynamic testing, etc
Phase-variable canonical form for single input linear dynamical systems applied to linear control theory
Linear transformation of arbitrary, completely controllable, single-input, time-variant linear dynamical system to canonical form
State of randomly excited dynamical system estimated from noise measurements having finite duration, and optimal linear filter synthesized from conditional probability theory
Filtering, prediction, and smoothing procedures for multi-stage linear dynamic systems using sampled data with sequentially correlated noise
Nonsingular linear transformation of time- invariant linear dynamic system into canonical /phase-variable/ form
Optimal final value control theory, applying variational calculus and functional analysis to control function selection for dynamic systems
Design of optimal waveforms for optimal estimation or prediction of state of linear dynamical system in presence of Markov and white noise
Finite-state machines and evolutionary programming for representing and analyzing performance of human operator in control of dynamic systems
Solution stability of nonlinear differential equation associated with dynamical systems using digital computer
Liapunov theory of stability applied to dynamical systems defined by differential equations
Fixed time pursuit-evasion problems for dynamic systems solved with nonlinear programming algorithms
Multistage linear dynamic systems with sequentially correlated noise, evaluating filtering, prediction and smoothing procedures
Optimal control and filtering problem for stochastic linear dynamic system reduced to independent equations
Dynamic system absolute stability and sensitivity to parameter variations in linear part of system calculated by graphical and analytical techniques
Fokker-Planck equation for probability density of dynamical system under random input and probabilistic feedback applied to closed loop control systems analysis
Conference on mechanical engineering aspects of satellite systems - dynamic structural analyses and developments of control mechanisms, design specifications, and equipment components