Pages that link to "Item:Q644284"
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The following pages link to Convexity and convex approximations of discrete-time stochastic control problems with constraints (Q644284):
Displaying 18 items.
- Stochastic receding horizon control with output feedback and bounded controls (Q445037) (← links)
- Trading performance for state constraint feasibility in stochastic constrained control: a randomized approach (Q509522) (← links)
- Stochastic model predictive control of LPV systems via scenario optimization (Q522845) (← links)
- Sparse and constrained stochastic predictive control for networked systems (Q680489) (← links)
- A probabilistic version of the turnpike theorem for homogeneous convex control models (Q1059925) (← links)
- Finite-horizon covariance control for discrete-time stochastic linear systems subject to input constraints (Q1641047) (← links)
- Stochastic control with exit time and constraints, application to small time attainability of sets (Q1879224) (← links)
- Lyapunov-based model predictive control of stochastic nonlinear systems (Q1937517) (← links)
- A chance-constrained stochastic model predictive control problem with disturbance feedback (Q2031315) (← links)
- Optimal disturbance compensation for constrained linear systems operating in stationary conditions: a scenario-based approach (Q2280962) (← links)
- A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints (Q2307539) (← links)
- The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations (Q2342423) (← links)
- Linear controller design for chance constrained systems (Q2342543) (← links)
- Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems (Q2439155) (← links)
- Reliable approximations of probability-constrained stochastic linear-quadratic control (Q2628676) (← links)
- Optimal control applications and methods literature survey (No. 27) (Q2847229) (← links)
- Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control<sup>†</sup> (Q2868825) (← links)
- Event‐triggered adaptive tracking control for nonlinear systems with predefined time‐varying output constraints based on Nussbaum design (Q6071523) (← links)
