Periodic funnel-based control for peak inspiratory pressure

Pomprapa, Anake; Weyer, Sören; Leonhardt, Steffen; Walter, Marian; Misgeld, Berno J.E.

doi:10.1109/cdc.2015.7403100

Cited by 33 publications

(45 citation statements)

References 16 publications

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“…12, it can be concluded that no integrator gain k i exists that meets both the rise time specification of 0.2 s and the overshoot specification of 2000 mL/min in experiments. Choosing k i = 2 would result in a quite good compromise, but it is not a robust setting, considering the fact that a slightly larger k i value already results in a significantly (e) Output of the nonlinearity ϕ(e, Q pat ) as in (17) and (18).…”

Section: A Experimental Resultsmentioning

confidence: 99%

“…From this, it follows that the maximum additional gain α = 18.5 1 (see [11], [12], [23]). By using the designed nonlinearity as in (17) and restricting α to its maximum value of 18.5, this condition is met [see also Fig. 13(d) and (e)].…”

Section: A Experimental Resultsmentioning

confidence: 99%

“…9) in order to compensate for the pressure drop along the hose quickly. Therefore, we propose to switch the controller gain based on the patient flow Q pat ϕ(e, Q pat ) = φ(Q pat )e (17) in which φ(Q pat ) should be designed to be large for large flows (high-gain) and small for small flows (low gain). Schematically, this is shown in Fig.…”

Section: Variable-gain Control Of a Respiratory System A Variabmentioning

confidence: 99%

“…Proof: The proof follows from circle-criterion-type arguments [2], [10], [14], [26]. In the proofs in these references, typically, the nonlinearity ϕ(e) = φ(e)e only depends on the error e. However, even though the nonlinearity considered here depends on an additional output variable Q pat [see (17)], the same proof applies. To see this, note that the nonlinearity ϕ(e, Q pat ) satisfies the sector condition (21) for all e ∈ R, e = 0, but also for all Q pat ∈ R, such that a proof along the lines of [10], [14], and [26] can be followed.…”

Section: B Stability Of the Variable-gain Control Schemementioning

confidence: 99%

“…Although computer-controlled ventilation is common, a few research studies have been done on the actual controller design, or companies are unwilling to share their knowledge about this subject and, therefore, publications in this area are unfortunately scarce. Some controlrelated research has been performed in the area of mechanical ventilation focusing on iterative learning control (ILC) [19], funnel-based control [17], or general control applications in ventilation [5], [6], [25]. However, from the experience of the authors, common practice in the existing ventilator systems is that the linear PID-type feedback controllers are used in order to reach the target pressures accurately.…”

Section: Introductionmentioning

confidence: 99%

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Variable-Gain Control for Respiratory Systems

Hunnekens¹,

Kamps

Wouw

2020

IEEE Trans. Contr. Syst. Technol.

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In this paper, we introduce a variable-gain control strategy for mechanical ventilators in the respiratory systems. Respiratory systems assist the patients who have difficulty breathing on their own. For the comfort of the patient, fast pressure buildup (and release) and a stable flow response are desired. However, linear controllers typically need to balance between these conflicting objectives. In order to balance this tradeoff in a more desirable manner, a variable-gain controller is proposed, which switches the controller gain based on the magnitude of the patient flow. The effectiveness of the control strategy is demonstrated in experiments on different test lungs.

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Section: A Experimental Resultsmentioning

confidence: 99%

Section: A Experimental Resultsmentioning

confidence: 99%

Section: Variable-gain Control Of a Respiratory System A Variabmentioning

confidence: 99%

Section: B Stability Of the Variable-gain Control Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Variable-Gain Control for Respiratory Systems

Hunnekens¹,

Kamps

Wouw

2020

IEEE Trans. Contr. Syst. Technol.

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Prescribed performance tracking for a class of uncertain nonlinear systems with actuator failures

Liu

Wang

2022

Intl J Robust & Nonlinear

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In this article, we consider the design of a tracking controller for a class of uncertain nonlinear systems with external disturbances and actuator failures and achieve predesignated performance results on the tracking error. First, since the existing prescribed performance strategies are unable to specify performance bounds in an arbitrary way, we propose a new tool to address the prescribed performance issue by constructing chained first‐order filters and an input switching method. With the aid of the new and flexible prescribed performance tool, any predesignated continuous bounds can be formed by setting the reference coordinate values, sufficiently small coordinate value intervals and the gain parameters of the filters. Second, a full state feedback controller design scheme based on the prescribed performance bounds, which describe the convergence rate and maximum overshoot of the tracking error, is proposed. It is proven that the tracking error always satisfies the prescribed performance bounds. Finally, simulation studies are used to illustrate the effectiveness of the proposed tool and the correctness of the established theoretical results.

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Funnel control of nonlinear systems

Berger

Ilchmann

Ryan

2021

Math. Control Signals Syst.

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Tracking of reference signals is addressed in the context of a class of nonlinear controlled systems modelled by r-th-order functional differential equations, encompassing inter alia systems with unknown “control direction” and dead-zone input effects. A control structure is developed which ensures that, for every member of the underlying system class and every admissible reference signal, the tracking error evolves in a prescribed funnel chosen to reflect transient and asymptotic accuracy objectives. Two fundamental properties underpin the system class: bounded-input bounded-output stable internal dynamics, and a high-gain property (an antecedent of which is the concept of sign-definite high-frequency gain in the context of linear systems).

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Periodic funnel-based control for peak inspiratory pressure

Cited by 33 publications

References 16 publications

Variable-Gain Control for Respiratory Systems

Variable-Gain Control for Respiratory Systems

Prescribed performance tracking for a class of uncertain nonlinear systems with actuator failures

Funnel control of nonlinear systems

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