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Optimal Design of Control Systems Stochastic and Deterministic Problems


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πŸ“œ SIMILAR VOLUMES


Optimal Design of Control Systems: Stoch
✍ Gennadii E. Kolosov πŸ“‚ Library πŸ“… 1999 🌐 English

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control p

Optimal Design of Control Systems: Stoch
✍ Gennadii E. Kolosov πŸ“‚ Library πŸ“… 1999 πŸ› CRC Press 🌐 English

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control p

Optimal design of control systems: Stoch
✍ Gennadii E. Kolosov πŸ“‚ Library πŸ“… 1999 πŸ› CRC Press 🌐 English

Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control pr

Deterministic and Stochastic Optimal Con
✍ Baasansuren Jadamba (editor), Akhtar A. Khan (editor), StanisΕ‚aw MigΓ³rski (edito πŸ“‚ Library πŸ“… 2021 πŸ› CRC Press 🌐 English

<p>Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem

Deterministic and Stochastic Optimal Con
✍ Baasansuren Jadamba (editor), Akhtar A. Khan (editor), StanisΕ‚aw MigΓ³rski (edito πŸ“‚ Library πŸ“… 2021 πŸ› CRC Press 🌐 English

<span><p>Inverse problems of identifying random parameters and random initial/boundary conditions in stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control proble