Pages that link to "Item:Q1939624"
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The following pages link to A combined moving horizon and direct virtual sensor approach for constrained nonlinear estimation (Q1939624):
Displaying 15 items.
- Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers (Q259406) (← links)
- Moving horizon estimation for multirate systems with time-varying time-delays (Q1730085) (← links)
- Control of MIMO nonlinear systems: a data-driven model inversion approach (Q1737753) (← links)
- Finite sample properties of virtual reference feedback tuning control (Q1794297) (← links)
- SMGO: a set membership approach to data-driven global optimization (Q2065241) (← links)
- Design of experiments for nonlinear system identification: a set membership approach (Q2207177) (← links)
- Experimental applications of the Koopman operator in active learning for control (Q2212197) (← links)
- Control analysis and synthesis of data-driven learning for uncertain linear systems (Q2682290) (← links)
- (Q2980489) (redirect page) (← links)
- (Q4443297) (← links)
- An Algorithm for Learning Without External Supervision and Its Application to Learning Control Systems (Q4721953) (← links)
- Fast moving horizon state estimation for discrete‐time systems with linear constraints (Q5000688) (← links)
- Physics-informed online learning of gray-box models by moving horizon estimation (Q6092477) (← links)
- SMGO-\(\Delta\): balancing caution and reward in global optimization with black-box constraints (Q6191636) (← links)
- Distributed moving horizon fusion estimation for linear constrained uncertain systems (Q6663563) (← links)