Pages that link to "Item:Q5347590"
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The following pages link to Stochastic Tubes in Model Predictive Control With Probabilistic Constraints (Q5347590):
Displaying 35 items.
- Probabilistic set invariance and ultimate boundedness (Q361056) (← links)
- Stochastic tube MPC with state estimation (Q445097) (← links)
- Stochastic model predictive control of LPV systems via scenario optimization (Q522845) (← links)
- Explicit use of probabilistic distributions in linear predictive control (Q608483) (← links)
- Event-based optimization approach for solving stochastic decision problems with probabilistic constraint (Q828677) (← links)
- Stochastic output feedback control: convex lifting approach (Q1640260) (← links)
- Robust tube-based MPC with piecewise affine control laws (Q1723925) (← links)
- Lagrangian approximations for stochastic reachability of a target tube (Q2021292) (← links)
- A stochastic MPC scheme for distributed systems with multiplicative uncertainty (Q2125492) (← links)
- Stochastic model predictive control for linear systems with unbounded additive uncertainties (Q2137095) (← links)
- Stochastic self-triggered MPC for linear constrained systems under additive uncertainty and chance constraints (Q2198107) (← links)
- Recursively feasible stochastic model predictive control using indirect feedback (Q2207230) (← links)
- Reference governors for chance-constrained systems (Q2280902) (← links)
- A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints (Q2307539) (← links)
- MPC-based defense strategy for distributed networked control systems under DoS attacks (Q2327378) (← links)
- The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations (Q2342423) (← links)
- Constraint-softening in model predictive control with off-line-optimized admissible sets for systems with additive and multiplicative disturbances (Q2454182) (← links)
- Online learning based risk-averse stochastic MPC of constrained linear uncertain systems (Q2663890) (← links)
- Stochastic reachability of a target tube: theory and computation (Q2663957) (← links)
- Probabilistic reachable and invariant sets for linear systems with correlated disturbance (Q2665669) (← links)
- Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling (Q2868826) (← links)
- Getting Robustness Against Unstructured Uncertainty: A Tube-Based MPC Approach (Q2983173) (← links)
- Distributed Model Predictive Control of Linear Systems with Stochastic Parametric Uncertainties and Coupled Probabilistic Constraints (Q3457095) (← links)
- Robust model predictive control for constrained continuous-time nonlinear systems (Q4568038) (← links)
- Robust RHC for wheeled vehicles with bounded disturbances (Q5225132) (← links)
- Stochastic tracking control of multivariable nonlinear systems subject to external disturbances (Q6054905) (← links)
- Tube-based model predictive full containment control for stochastic multi-agent systems (Q6056458) (← links)
- Minimization of constraint violation probability in model predictive control (Q6071537) (← links)
- A robust distributed receding horizon control synthesis approach for simultaneous tracking, regulation and formation of multiple perturbed wheeled vehicles with collision avoidance (Q6089773) (← links)
- Conditional scenario-based model predictive control (Q6113881) (← links)
- Data‐driven predictive control for a class of uncertain control‐affine systems (Q6141952) (← links)
- A model‐and data‐driven predictive control approach for tracking of stochastic nonlinear systems using Gaussian processes (Q6194773) (← links)
- Offline robust model predictive control for Lipschitz non-linear systems using polyhedral invariant sets (Q6563332) (← links)
- Output feedback model predictive control based on set-membership state estimation (Q6598807) (← links)
- Artificial neural networks for energy demand prediction in an economic MPC-based energy management system (Q6664727) (← links)