Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise | Paper Citation Record

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This paper cites Borrelli, A.

Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Borrelli, A

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This paper cites Rawlings, D.

Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Rawlings, D

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Robust model predic- tive control of constrained linear systems with bounded disturbances,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Learning-based model predictive control: Toward safe learning in control,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Learning- based model predictive control for safe exploration,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Cautious model predictive control using gaussian process regression,

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This paper cites Kpc: Learning-based model predictive control with deterministic guaran- tees,.

Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Kpc: Learning-based model predictive control with deterministic guaran- tees,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Learning-based non- linear model predictive control,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Gaussian processes for dynamics learning in model predictive control,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Data-enabled predictive control: In the shallows of the deepc,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Data-driven tracking mpc for changing setpoints,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise On the design of terminal ingredients for data-driven mpc,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Robust stability analysis of a simple data-driven model predictive control approach,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise A novel constraint-tightening approach for robust data-driven predictive con- trol,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Noise handling in data- driven predictive control: A strategy based on dynamic mode decom- position,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Indirect adaptive model predictive control for linear systems with polytopic uncertainty,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Adaptive receding horizon control for constrained mimo systems,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Linear robust adaptive model predictive control: Computational com- plexity and conservatism,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Robust mpc with recur- sive model update,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Adaptive model predictive control for a class of constrained linear systems with parametric uncertainties,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise A robust adaptive model predictive control framework for nonlinear uncertain systems,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Certainty-equivalent adaptive MPC for uncertain nonlinear systems

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Robust adaptive mpc using control contraction metrics,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Dual adaptive mpc using an exact set-membership reformulation,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Robust tube-based model predictive control with koopman operators,

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This paper cites Data-driven MPC with terminal conditions in the Koopman framework.

Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Data-driven MPC with terminal conditions in the Koopman framework

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Stability of data-driven Koopman MPC with terminal conditions

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Ljung,System identification toolbox: User’s guide

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Rates of convergence for empirical processes of stationary mixing sequences,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise A framework for adap- tive stabilisation of nonlinear stochastic systems,

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Vershynin,High-Dimensional Probability: An Introduction with Applications in Data Science, 2nd ed

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Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise Learning-based Homothetic Tube MPC with Non-Asymptotic Guarantees

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