2018
DOI: 10.1109/tla.2018.8362140
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Observer-based LPV stabilization system for a riderless bicycle

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Cited by 6 publications
(5 citation statements)
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“…IP observers have diverse applications since they are considerably more robust to system input disturbances, compared to the previously cited observers [33]. Other observers such as linear observers with variable parameters (LPV) show excellent results in feedback and output injections in complex systems [34]. HG observers, such as the ones applied in this work, can implicitly include integral action, increasing their degrees of freedom.…”
Section: Overviewmentioning
confidence: 96%
“…IP observers have diverse applications since they are considerably more robust to system input disturbances, compared to the previously cited observers [33]. Other observers such as linear observers with variable parameters (LPV) show excellent results in feedback and output injections in complex systems [34]. HG observers, such as the ones applied in this work, can implicitly include integral action, increasing their degrees of freedom.…”
Section: Overviewmentioning
confidence: 96%
“…Due to the presence of C(θ(t)) post-multiplying B K (θ(t)) and D K (θ(t)) in (15), the procedure to obtain LMIs for design of the controller's matrices is somehow more complex. The system (1)-(2) is quadratically stabilizable using the convex controller (13)- (14) if there exist a positive definite matrix P ∈ S 2n x such that A cl (θ)P + PA cl (θ) ≺ 0, ∀θ ∈ Θ, where A cl (θ) is the state matrix of the autonomous system (15). Following Refs.…”
Section: Convex Output-feedback Controlmentioning
confidence: 99%
“…The TS approach was adopted rapidly by the control community and was applied to state estimation [7], control [8], fault detection [7], descriptor systems [9], state observers [10], waste-water treatment plants [11], bioreactors [12], process industry [13,14], mechatronics [15,16], aeronautics [17,18] and automotive [19,20], among others. Comprehensive material about the topic can be found in Refs.…”
Section: Introductionmentioning
confidence: 99%
“…, M of Θ and Φ, respectively. Thereupon, let us consider the regions (8) and (18) and the inclusion E ⊆ V described by (19) to obtain (32).…”
Section: Theoremmentioning
confidence: 99%
“…Notably, many nonlinearities can be represented as varying parameters that depend on endogenous signals, for example, states and inputs [17], which broadens the applicability of the design methodology to nonlinear plants. Examples of successful applications of the LPV paradigm are-wind turbines [18], vehicles [19,20] and drones [21].…”
Section: Introductionmentioning
confidence: 99%