Design of Optimum Dynamic Control Systems for Nonlinear Processes

1963 ◽  
Vol 2 (2) ◽  
pp. 81-89 ◽  
Author(s):  
C. A. Jones ◽  
E. F. Johnson ◽  
Leon Lapidus ◽  
R. H. Wilhelm
Keyword(s):  
Control Systems ◽  
Dynamic Control ◽  
Nonlinear Processes

scholarly journals Approximate Controllability of Sobolev Type Nonlocal Fractional Stochastic Dynamic Systems in Hilbert Spaces

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Mourad Kerboua ◽  
Amar Debbouche ◽  
Dumitru Baleanu
Keyword(s):  
Control Systems ◽  
Hilbert Spaces ◽  
Dynamic Systems ◽  
Approximate Controllability ◽  
Dynamic Control ◽  
Sufficient Conditions ◽  
Sobolev Type ◽  
Stochastic Dynamic ◽  
Deterministic Control ◽  
Stochastic Dynamic Systems

We study a class of fractional stochastic dynamic control systems of Sobolev type in Hilbert spaces. We use fixed point technique, fractional calculus, stochastic analysis, and methods adopted directly from deterministic control problems for the main results. A new set of sufficient conditions for approximate controllability is formulated and proved. An example is also given to provide the obtained theory.

On the solution of inverse problems for dynamic control systems

2018 ◽  
Author(s):  
Nina Nikolaevna Subbotina ◽  
Evgeniy Aleksandrovitch Krupennikov
Keyword(s):  
Inverse Problems ◽  
Control Systems ◽  
Dynamic Control

scholarly journals Optimal Control of Particle Advection in Couette and Poiseuille Flows

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Teresa Grilo ◽  
Fernando Lobo Pereira ◽  
Sílvio Gama
Keyword(s):  
Optimal Control ◽  
Control Systems ◽  
Dynamic Control ◽  
Mathematical Framework ◽  
State Variable ◽  
Underwater Gliders ◽  
Time Control ◽  
The Pontryagin Maximum Principle ◽  
Couette And Poiseuille Flows ◽  
Poiseuille Flows

We present the problem of minimum time control of a particle advected in Couette and Poiseuille flows and solve it by using the Pontryagin maximum principle. This study is a first step of an effort aiming at the development of a mathematical framework for the control and optimization of dynamic control systems whose state variable is driven by interacting ODEs and PDEs which can be applied in the control of underwater gliders and mechanical fishes.

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