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Manisha Bhandari

Bio: Manisha Bhandari is an academic researcher from Rajasthan Technical University. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 5, co-authored 19 publications receiving 72 citations. Previous affiliations of Manisha Bhandari include University College of Engineering.

Papers
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Proceedings ArticleDOI
01 Nov 2017
TL;DR: A discrete time model-based networked control system is used with two sided channel for generation of plant dynamics and lifting technique is used to obtain the stability of the system.
Abstract: In this paper, a discrete time model-based networked control system is used with two sided channel. In model-based control scheme, an estimated model is used for generation of plant dynamics. It is noticed that update interval directly depends on the error between plant and model. To increase update interval, the best-estimated model is taken. The communication channel is provided on both sides, from sensor to controller and then controller to plant. Lifting technique is used to obtain the stability of the system. This approach is applied to DC motor. Simulation results are used to show the effectiveness of the approach.

1 citations

Proceedings ArticleDOI
01 Jun 2019
TL;DR: This work proposes an event-trigger theory which leverages the physical property of discrete two-time scale system to reduce the requirement of network bandwidth.
Abstract: There are several physical systems which exhibit two-time scale property. When these systems are controlled through networks, uniform sampling causes an extra burden on the network bandwidth. Furthermore, uniform sampling of slow and fast variables leads to over-sampling of slow variables. This work proposes an event-trigger theory which leverages the physical property of discrete two-time scale system to reduce the requirement of network bandwidth. Events in slow and fast variables occur as per their respective dynamics and based on the occurrence of a respective event, only slow or fast variables are communicated through a network. Thus the communication of the state is carried out based on an event of the respective set of variables. Simulation studies are presented to validate the theoretical developments.

1 citations

Proceedings ArticleDOI
02 Apr 2015
TL;DR: Design of robust PI controller is proposed to control the dynamic behavior of vehicle active suspension system with hydraulic actuator followed by road disturbances using Kharitonov theorem to take care of parameter uncertainties present in all physical systems.
Abstract: Design of robust PI controller is proposed to control the dynamic behavior of vehicle active suspension system with hydraulic actuator followed by road disturbances. A graphical approach, using stability boundary locus in the (k p , k i ) -plane is used to compute the PI controller parameters. The stability boundary locus in the (k p , k i ) -plane is plotted by applying a gain-phase margin tester in the system to achieve the required gain margin and phase margin. In reality, all physical systems contain uncertainties. To take care of parameter uncertainties present in all physical systems, Kharitonov theorem is used.

1 citations

Proceedings ArticleDOI
01 Jul 2017
TL;DR: The framework for the event-triggered state feedback control of a continuous plant is proposed and the effectiveness of this approach is shown by simulation performed on a chemical process of two interconnected tanks system.
Abstract: This paper proposes the framework for the event-triggered state feedback control of a continuous plant. Following on emulation based approach event-based control loop is designed to follow the performance of continuous state feedback loop. Event-triggering conditions are designed so that the difference between the event-based control loop and the continuous state feedback remains bounded and there exists a lower bound of inter-execution time between events. The effectiveness of this approach is shown by simulation performed on a chemical process of two interconnected tanks system.

1 citations

Journal ArticleDOI
TL;DR: Experimental results indicate that the proposed stabilising event-triggered feedback law for a networked singularly perturbed system is comparable to that of the full-state feedback design with continuous feedback with the significant reduction in control execution events.
Abstract: For two-time scale systems, singular perturbation theory is often used for designing a controller based only on an approximate model of its slow dynamics, assuming the fast model to be stable. In this context, the authors investigate and implement a stabilising event-triggered feedback law for a networked singularly perturbed system, based only on an approximate model of its slow dynamics. Triggering rule guarantees the stability and the existence of a positive lower bound between two consecutive transmissions. The proposed approach has been validated for a laboratory-scale hardware setup of an active suspension system of a quarter-car model. The presence of fast and slow modes in a vehicle suspension system is utilised to model it as a singularly perturbed system. Experimental results indicate that in spite of the simplified structure of the controller and event-triggered feedback, its performance is comparable to that of the full-state feedback design with continuous feedback with the significant reduction in control execution events.

1 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

Journal ArticleDOI
TL;DR: This paper addresses the state estimation problem for a class of discrete-time singularly perturbed systems with distributed time-delays with dynamic event-triggered scheme and proposes a design algorithm for the desired state estimator ensuring that the error dynamics is exponentially mean-square ultimately bounded.
Abstract: This paper is concerned with the state estimation problem for a class of discrete-time singularly perturbed systems with distributed time-delays. During the data transmission through a network channel of limited bandwidth, for the sake of collision avoidance and energy saving, a dynamic event-triggered scheme is employed to schedule the data communication from the sensors to the designed estimator. First, for a given singular perturbation parameter (SPP), by constructing a novel Lyapunov–Krasovskii SPP-dependent functional, sufficient conditions are obtained to guarantee the exponentially mean-square ultimate boundedness of the error dynamics of the state estimation. Furthermore, in the case that the SPP does not exceed a predefined upper bound, a design algorithm is developed for the desired state estimator ensuring that the error dynamics is exponentially mean-square ultimately bounded. In this case, by solving certain matrix inequalities, the estimator gain is characterized without needing to know the exact SPP (as long as it stays below the given upper bound). Moreover, the ultimate bound of the error dynamics is estimated. Finally, simulation results are given to confirm the validity and advantages of the proposed design scheme of the state estimator.

79 citations

01 Jan 2002
TL;DR: In this article, it is shown that Lebesgue sampling gives better performance for some simple systems than traditional Riemann sampling, which is an analog of integration theory and is called event-based sampling.
Abstract: The normal approach to digital control is to sample periodically in time. Using an analog of integration theory we can call this Riemann sampling. Lebesgue sampling or event based sampling is an alternative to Riemann sampling. It means that signals are sampled only when measurements pass certain limits. In this paper it is shown that Lebesgue sampling gives better performance for some simple systems.

77 citations

Journal ArticleDOI
TL;DR: The hyperbolic barrier Lyapunov function and auxiliary systems are adopted to develop boundary constrained control with a disturbance observer for restraining vibrations, eliminating input and state constraints, and tackling external disturbances.
Abstract: This brief concentrates on controller design for flexible string systems subjected to external disturbances, input constraints, and state constraints. The hyperbolic barrier Lyapunov function and auxiliary systems are adopted to develop boundary constrained control with a disturbance observer for restraining vibrations, eliminating input and state constraints, and tackling external disturbances. The suggested control can ensure the input and state constraints and achieve asymptotic stability in the controlled system. With appropriate design parameters, the simulation results obtained verify the control performance.

75 citations

Journal ArticleDOI
TL;DR: This research aims to present a design of the modern control strategies for a 6 degree of freedom robotic manipulator based on derived kinematic and dynamic models of the robot and demonstrates efficiency and usefulness of the presented control approaches.
Abstract: Robots have become an integral part of industrial automation. Their ultimate role and contribution in this sector is essentially a function of the associated control strategy to ensure precision, r...

54 citations