Delay-dependent H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; control of linear systems with input delay using composite state-derivative feedback

Shariati, A.; Taghirad, Hamid D.; Labibi, B.

doi:10.1109/isccsp.2010.5463391

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…We compare our results for neutral time-delay system in Theorem 4 with the results using the same state-derivative feedback in [20]. Table 1 shows the results of the upper bound of time-delay for different values of .…”

Section: Simulationsmentioning

confidence: 99%

“…Reference [19] proposed an ∞ observer-based controller for the uncertain neutral timedelay systems. Shariati proposed an ∞ controller for a linear system with time-delay, which used composite statederivative feedback [20]. Reference [21] proposed a nonfragile controller for the discrete-time descriptor systems with multiple state delays.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

RobustH∞Control of Neutral System with Time-Delay for Dynamic Positioning Ships

Zhao

Ding

Zhou

et al. 2015

Mathematical Problems in Engineering

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Due to the input time-delay existing in most thrust systems of the ships, the robustH∞controller is designed for the ship dynamic positioning (DP) system with time-delay. The input delay system is turned to a neutral time-delay system by a state-derivative control law. The less conservative result is derived for the neutral system with state-derivative feedback by the delay-decomposition approach and linear matrix inequality (LMI). Finally, the numerical simulations demonstrate the asymptotic stability and robustness of the controller and verify that the designed DP controller is effective in the varying environment disturbances of wind, waves, and ocean currents.

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Section: Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RobustH∞Control of Neutral System with Time-Delay for Dynamic Positioning Ships

Zhao

Ding

Zhou

et al. 2015

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…In [ 23 ], an H

observer combined with NN for the estimation of the sideslip and roll angle with network-induced delays was designed. In other studies [ 24 ], a delay controller was designed for active vibration suppression systems. In [ 25 ], a controller was used to stabilize the lateral vehicle dynamics with a state delay of an active front steering system for electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

LMI-Based H∞ Controller of Vehicle Roll Stability Control Systems with Input and Output Delays

Redondo

Boada

Díaz

2021

Sensors

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Many of the current research works are focused on the development of different control systems for commercial vehicles in order to reduce the incidence of risky driving situations, while also improving stability and comfort. Some works are focused on developing low-cost embedded systems with enough accuracy, reliability, and processing time. Previous research works have analyzed the integration of low-cost sensors in vehicles. These works demonstrated the feasibility of using these systems, although they indicate that this type of low-cost kit could present relevant delays and noise that must be compensated to improve the performance of the device. For this purpose, it is necessary design controllers for systems with input and output delays. The novelty of this work is the development of an LMI-Based H∞ output-feedback controller that takes into account the effect of delays in the network, both on the sensor side and the actuator side, on RSC (Roll Stability Control) systems. The controller is based on an active suspension with input and output delays, where the anti-roll moment is used as a control input and the roll rate as measured data, both with delays. This controller was compared with a controller system with a no-delay consideration that was experiencing similar delays. The comparison was made through simulation tests with a validated vehicle on the TruckSim® software.

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“…This method was initially developed to reduce vibration using data obtained from accelerometer sensors since it is possible to evaluate velocity from acceleration with accuracy but not displacement. Shariati [5] deals for example with H-infinity-based state-derivative feedback control. Da Silva [6] proposes a method for the design of state-derivative feedback applied to uncertain linear systems.…”

Section: Introductionmentioning

confidence: 99%