1999 - Richard E. Bellman Control Heritage Award
1987 - Member of the National Academy of Engineering For pioneering and sustained contributions to applied optimization, control, and systems engineering theory and application.
1973 - IEEE Fellow For contributions to control theory and differential games.
Yu-Chi Ho spends much of his time researching Mathematical optimization, Optimal control, Game theory, Control theory and Theory of computation. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Sensitivity, Decision theory, Queueing theory, Ordinal optimization and Nonlinear system. His Optimal control study combines topics from a wide range of disciplines, such as Dynamic programming and Differential game.
His Game theory research integrates issues from Differential, Outcome, Special case and Nash equilibrium. His work on Discretization, Vehicle dynamics and Pursuit-evasion is typically connected to Estimation as part of general Control theory study, connecting several disciplines of science. While the research belongs to areas of Theory of computation, Yu-Chi Ho spends his time largely on the problem of Mathematical economics, intersecting his research to questions surrounding Incentive and Cybernetics.
Yu-Chi Ho focuses on Mathematical optimization, Ordinal optimization, Control theory, Algorithm and Optimal control. His Mathematical optimization research incorporates elements of Theory of computation and Game theory. His work carried out in the field of Game theory brings together such families of science as Stackelberg competition, Differential game and Stochastic control.
His Ordinal optimization research is multidisciplinary, relying on both Computational complexity theory, Engineering optimization and Artificial intelligence. His work in Feedback control and Linear system is related to Control theory. The Optimal control study combines topics in areas such as Decision theory and Automatic control.
The scientist’s investigation covers issues in Mathematical optimization, Ordinal optimization, Optimization problem, Artificial intelligence and Control theory. His study in the fields of No free lunch in search and optimization under the domain of Mathematical optimization overlaps with other disciplines such as Process. His research in Ordinal optimization intersects with topics in Rough set, Event, Computation, Stochastic optimization and Discrete optimization.
The various areas that he examines in his Optimization problem study include Computational complexity theory, Heuristic, Path, Binary decision diagram and Constraint. Yu-Chi Ho interconnects Numerical analysis, Machine learning and Real-time computing in the investigation of issues within Artificial intelligence. In general Control theory study, his work on Feedback control often relates to the realm of Control, thereby connecting several areas of interest.
His primary areas of study are Mathematical optimization, Ordinal optimization, Artificial intelligence, Complex system and Optimal control. His Mathematical optimization research includes themes of Probability distribution, Contrast, Nonlinear programming, Computational complexity theory and Systems design. Yu-Chi Ho has researched Ordinal optimization in several fields, including Rough set, Event, Derivative-free optimization, Discrete optimization and Remanufacturing.
His studies in Artificial intelligence integrate themes in fields like Network simulation and Energy. His Complex system study incorporates themes from Mathematical model, Type, Simulation modeling and Key. His Optimal control research is included under the broader classification of Control theory.
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Applied optimal control : optimization, estimation and control
Arthur E. Bryson;Yu-Chi Ho.
Applied optimal control : optimization, estimation, and control / Arthur E. Bryson, Jr., Yu-Chi Ho. (1975)
Nonzero-sum differential games
A. W. Starr;Y. C. Ho.
Journal of Optimization Theory and Applications (1969)
Gradient Estimation Via Perturbation Analysis
Paul Glasserman;Yu-Chi Ho.
Perturbation Analysis of Discrete Event Dynamic Systems
Yu-Chi Ho;Xi-Ren Cao.
Team decision theory and information structures in optimal control problems--Part II
Yu-Chi Ho;K'ai-Ching Chu.
IEEE Transactions on Automatic Control (1972)
A Bayesian approach to problems in stochastic estimation and control
Y. Ho;R. Lee.
IEEE Transactions on Automatic Control (1964)
Ordinal Optimization of DEDS
Yu-Chi Ho;R. S. Sreenivas;P. Vakili.
Discrete Event Dynamic Systems (1992)
Differential games and optimal pursuit-evasion strategies
Y. Ho;A. Bryson;S. Baron.
IEEE Transactions on Automatic Control (1965)
Team decision theory and information structures
Proceedings of the IEEE (1980)
A gradient technique for general buffer storage design in a production line
Y. C. Ho;M. A. Eyler;T. T. Chien.
International Journal of Production Research (1979)
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