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Found 5 papers, 0 papers with code
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds
This paper concerns identification of uncontrolled or closed loop nonlinear systems using a set of trajectories that are generated by the system in a domain of attraction.
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning
Safe model-based reinforcement learning techniques based on a barrier transformation have recently been developed to address this problem.
Model-based Reinforcement Learning
reinforcement-learning
+1
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not available and/or the systems are safety-critical.
Model-based Reinforcement Learning
reinforcement-learning
+1
The kernel perspective on dynamic mode decomposition
This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eigenfunctions between Koopman operators, and boundedness and compactness of Koopman operators.
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems
As the fundamental basis elements leveraged in approximation, higher order control occupation kernels represent iterated integration after multiplication by a given controller in a vector valued reproducing kernel Hilbert space.
