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Controllability questions for nonlinear systems in abstract spaces
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Journal of Optimization Theory and Applications
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Semigroups of Linear Operators and Applications to Partial Differential Equations
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Theory of Functional Differential Equations
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Existence of optimal controls for nonlinear systems in Banach spaces
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Finite-time null controllability for a class of linear evolution equations on a Banach space with control constraints
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The time-optimal control problem in Banach spaces
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Infinite Dimensional Linear Systems Theory
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Optimal control of linear retarded systems in Banach spaces
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Nonlinear analysis and applications
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Generalized implicit function theorems when the derivative has no bounded inverse
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Operator methods for optimal control problems
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AN ESTIMATE FOR THE SOLUTION OF A CERTAIN FUNCTIONAL DIFFERENTIAL EQUATION OF NEUTRAL TYPE**This research was partially supported by National Aeronautics and Space Administration under Contract No. NSG 1445.
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Nonlinear Phenomena in Mathematical Sciences
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Differential Equations in Abstract Spaces
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Foundations of Modern Analysis
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A necessary and sufficient condition for local constrained controllability of a linear system
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Controllability of Nonlinear Processes
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On the Controllability of Delay-Differential Systems
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Controllability and Observability in Banach Space with Bounded Operators
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Finite Time Controllability of Nonlinear Control Processes
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A Note on the Lack of Exact Controllability for Mild Solutions in Banach Spaces
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Null Controllability of Nonlinear Functional Differential Equations
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Exact Controllability Theorems and Numerical Simulations for Some Nonlinear Differential Equations
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Controllability and Stabilizability Theory for Linear Partial Differential Equations: Recent Progress and Open Questions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Investigating the Controllability and Observability of Linear and Non-Linear Epidemiological Systems by Using Kalman's Rank Conditions: A Comparative Study
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Deep learning via dynamical systems: An approximation perspective
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