Power Oscillation Damping Control using Robust Coordinated Smart Devices

Tumiran, Tumiran; Nandar, Cuk Supriyadi Ali; Sarjiya, Sarjiya

doi:10.12928/telkomnika.v9i1.646

Cited by 8 publications

(10 citation statements)

References 12 publications

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“…It states that there exists the quantization scheme (3) and control policy (2) to stabilize the system (4) in the mean square sense (5).…”

Section: Then It Follows Thatmentioning

confidence: 99%

“…Some salient examples include unmanned air vehicles (UAVs), unmanned ground vehicles (UGVs), and unmanned underwater vehicles (UUVs) [4][5][6]. The presence of such digital and wireless communication channels which connect the sensor and the controller or the actuator and the controller brings up many challenges, and makes some traditional control approaches inapplicable or inefficient.…”

Section: Introductionmentioning

confidence: 99%

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Stabilization of Unmanned Air Vehicles over Wireless Communication Channels

Liu

2013

TELKOMNIKA

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Abstrak IntroductionThe research on networked control systems has received resurgent interests in recent years [1][2][3]. Some salient examples include unmanned air vehicles (UAVs), unmanned ground vehicles (UGVs), and unmanned underwater vehicles (UUVs) [4][5][6]. The presence of such digital and wireless communication channels which connect the sensor and the controller or the actuator and the controller brings up many challenges, and makes some traditional control approaches inapplicable or inefficient.One of the earliest papers on the topic is [7], where a weaker stability concept called containability was introduced, and the issue of coding and communication protocol became an integral part of the analysis. The research on stabilization of linear time-invariant systems with limited data rate was addressed. The fundamental problem of finding the lower bound on the data rate for stabilization was solved in [8][9][10]. There has been a lot of new interest in quantized feedback control where the measurements are quantized, coded and transmitted over a digital communication channel. A fundamental problem is how to design a quantization, coding and control scheme in order to achieve some given control performances.The research on quantized feedback control can be categorized depending on whether the quantizer is static or dynamic. Static quantizers were employed in [11][12][13]. In particular, it was shown in [8] that the coarsest quantizer is logarithmic. The results were generalized in [13] to a number of output feedback problems using a sector bound approach. Furthermore, dynamic quantizers were employed in [14][15][16][17][18]. It was shown in [14] that stabilization of a singleinput single-output (SISO) linear time-invariant (LTI) system could be achieved by employing only a finite number of quantization levels. It was shown in [15] that a feedback policy could be designed to bring the closed-loop state arbitrarily close to zero for an arbitrarily long time by employing a quantizer with various sensitivity.We addressed the observer-based, dynamic state feedback stabilization problem for

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“…It states that there exists the quantization scheme (3) and control policy (2) to stabilize the system (4) in the mean square sense (5).…”

Section: Then It Follows Thatmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stabilization of Unmanned Air Vehicles over Wireless Communication Channels

Liu

2013

TELKOMNIKA

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“…Networked control systems have attracted great interests in recent years [1][2][3]. In this paper, we study quantized feedback control problems for network empowerment ammunition with limited information about the plant states.…”

Section: Introductionmentioning

confidence: 99%

Quantized Feedback Control of Network Empowerment Ammunition with Data-Rate Limitations

Jin¹,

Yuan²,

Liu³

et al. 2014

TELKOMNIKA

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“…Networked control systems have attracted great interests in recent years, which arise in advanced manufacturing, industrial automation, national defence, and intelligent transportation [1][2][3]. Networked control systems have many advantages, such as easy installation, low cost, reduced weight and power requirements, and high reliability.…”

Section: Introductionmentioning

confidence: 99%

Networked Control Over Noisy Channel With Time Delays

Liu¹,

Jin²

2014

TELKOMNIKA

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This paper investigates networked control problems for linear control systems, where the sensors and the controller are connected by a bandwidth-limited, noisy digital communication channel with time delays. For this case, we examine the role communication has on quantized feedback stabilization problems, present quantization, coding, and control schemes, and derive a sufficient condition on the data rate of stabilization of the unstable plant. It is shown in our results that, communication constraints have important effects on stabilization of networked control systems. An illustrative example is given to demonstrate the effectiveness of the proposed method.

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Power Oscillation Damping Control using Robust Coordinated Smart Devices

Cited by 8 publications

References 12 publications

Stabilization of Unmanned Air Vehicles over Wireless Communication Channels

Stabilization of Unmanned Air Vehicles over Wireless Communication Channels

Quantized Feedback Control of Network Empowerment Ammunition with Data-Rate Limitations

Networked Control Over Noisy Channel With Time Delays

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