Neuroadaptive output feedback control for nonlinear nonnegative dynamical systems with actuator amplitude and integral constraints

Volyanskyy, Konstantin; Haddad, Wassim M.; Bailey, James M.

doi:10.1002/acs.1201

Cited by 11 publications

(7 citation statements)

References 36 publications

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“…where I and D 1 D OEd 11 ; d 12 ; d 13 T denote model uncertainty and external disturbance, respectively. Based on equations (13)- (16), we obtain the control-oriented model, which are used for controller design. It can be denoted as the following matrix form: cos˛tanˇ1 sin˛tanš in˛0 cos˛ cos˛cosˇ sinˇ sin˛cosˇ3…”

Section: Control-oriented Modelmentioning

confidence: 99%

“…Besides, taking uncertainty and large external disturbance into consideration makes the flight control problem more difficult. A lot of approaches have been proposed to theoretically tackle input constraint [15][16][17][18][19][20][21]. However, because of the complicated nonlinear dynamics of the hypersonic vehicle systems, only few studies are concerned about control problem with input limits.Anti-windup control was developed to cope with input constraint [22,23].…”

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confidence: 99%

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Attitude control of reusable launch vehicle in reentry phase with input constraint via robust adaptive backstepping control

Wang

Chen

Zong

2015

Adaptive Control & Signal

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The paper presents an attitude control problem of reusable launch vehicles in reentry phase. The controller is designed based on synthesizing robust adaptive control into backstepping control procedure in the presence of input constraint, model uncertainty, and external disturbance. In view of the coupling between the states of translational motion and the states of attitude motion, the control-oriented model is developed, where the uncertainties do not satisfy linear parameterization assumption. The time derivative of the virtual control input is viewed as a part of uncertain term to facilitate the analytic computations and avoid the 'explosion of terms' problem. The robust adaptive backstepping control scheme is first proposed to overcome the uncertainty and external disturbance. The robust adaptive law is employed to estimate the unknown bound of the uncertain term. Furthermore, the attitude control problem subjects to input constraint is studied, and the constrained robust adaptive backstepping control strategy is proposed. Within the Lyapunov theory framework, the stability analysis of the closed-loop system is carried out, and the tracking error converges to a random neighborhood around origin. Six-degree-of-freedom reusable launch vehicle simulation results are presented to show the effectiveness of the proposed control strategy.

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Section: Control-oriented Modelmentioning

confidence: 99%

mentioning

confidence: 99%

Attitude control of reusable launch vehicle in reentry phase with input constraint via robust adaptive backstepping control

Wang

Chen

Zong

2015

Adaptive Control & Signal

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“…The formulation in [39] addresses adaptive output feedback controllers for nonlinear compartmental systems with unmodeled dynamics of unknown order while guaranteeing ultimate boundedness of the error signals corresponding to the physical system states, as well as the neural network weighting gains. Extensions of adaptive and neuroadaptive controllers for drug delivery systems with actuator saturation constraints, measurement noise, and system time delays are discussed in [41][42][43][44][45].…”

Section: Closed-loop Control For Operating Room Hypnosismentioning

confidence: 99%

Clinical Decision Support and Closed‐Loop Control for Intensive Care Unit Sedation

Haddad

Bailey

Gholami

et al. 2013

Asian Journal of Control

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Critical care patients undergoing surgery require drug administration to regulate physiological variables such as blood pressure, cardiac output, heart rate, and degree of consciousness. The rate of infusion of each administered drug is critical, requiring constant monitoring and frequent adjustments. Patients in the intensive care unit who require mechanical ventilation due to acute respiratory failure also frequently require the administration of sedative agents. Open‐loop control (manual control) by clinical personnel can be tedious, imprecise, time‐consuming, and sometimes of poor quality, depending on the skills and judgment of the clinician. Dynamical system pharmacokinetic and pharmacodynamic modeling and closed‐loop control system design methodologies can significantly advance our understanding of the wide effects of pharmacological agents and anesthetics, as well as advance the state‐of‐the‐art in active control of drug delivery systems for clinical pharmacology. In this paper, we discuss the challenges and opportunities of clinical decision support and closed‐loop control for intensive care unit sedation.

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“…25,26 Much literature theoretically focuses on the control problem with input constraints. [27][28][29][30][31] In practice, when input saturation occurs, the aircraft body may change seriously even disintegrating for the flight control system. So, it is necessary to research the control design problem with input constraints.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy tracking control for a constrained flexible air-breathing hypersonic vehicle based on actuator compensation

Wang

et al. 2016

International Journal of Advanced Robotic Systems

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The design of an adaptive fuzzy tracking control for a flexible air-breathing hypersonic vehicle with actuator constraints is discussed. Based on functional decomposition methodology, velocity and altitude controllers are designed. Fuzzy logic systems are applied to approximate the lumped uncertainty of each subsystem of air-breathing hypersonic vehicle model. Every controllers contain only one adaptive parameter that needs to be updated online with a minimal-learning-parameter scheme. The back-stepping design is not demanded by converting the altitude subsystem into the normal output-feedback formulation, which predigests the design of a controller. The special contribution is that novel auxiliary systems are developed to compensate both the tracking errors and desired control laws, based on which the explored controller can still provide effective tracking of velocity and altitude commands when the inputs are saturated. Finally, reference trajectory tracking simulation shows the effectiveness of the proposed method in its application to air-breathing hypersonic vehicle control.

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Neuroadaptive output feedback control for nonlinear nonnegative dynamical systems with actuator amplitude and integral constraints

Cited by 11 publications

References 36 publications

Attitude control of reusable launch vehicle in reentry phase with input constraint via robust adaptive backstepping control

Attitude control of reusable launch vehicle in reentry phase with input constraint via robust adaptive backstepping control

Clinical Decision Support and Closed‐Loop Control for Intensive Care Unit Sedation

Adaptive fuzzy tracking control for a constrained flexible air-breathing hypersonic vehicle based on actuator compensation

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