In this paper, the infinite horizon optimal tracking control problem is solved online and forward-in-time for leader-follower based formation control of nonholonomic mobile robots. Using the backstepping design approa...
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Trajectory extrapolation is important for stability analysis and control of modern power systems. Many functions such as security warning and time-delay compensation for wide-area feedback control can be developed thr...
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ISBN:
(纸本)9781457710001
Trajectory extrapolation is important for stability analysis and control of modern power systems. Many functions such as security warning and time-delay compensation for wide-area feedback control can be developed through trajectory extrapolation. But as of now, there are no effective methods to extrapolate power system trajectories except for time-consuming numerical integration methods. The difficulties for trajectory extrapolation in power systems lie within the fact that the underlying dynamic equations are nonlinear, and thus analytical solutions are not possible. In this paper, a method is proposed to approximate the analytical solution of power system dynamics, by which trajectories can be extrapolated. First, the dynamic equations of power system are modified to an equivalent set of equations by polynomial projection technique. Based on the modified equations, an approximate analytical solution is obtained using algebraic Picard iteration without integration operation. This solution depends on the initial values and can be used for on-line trajectory extrapolation. Following a disturbance, with values at the instant of disturbance clearance known (i.e. through PMU - measurements), one can easily extrapolate the system trajectory by extending the approximate analytical solution and updating initial values. Finally, some simulation results are presented to show the effectiveness of the method.
We study the robustness of the inverse perturbation solution in discrete-time systems modeled by homogeneous Markov chains. We cast the optimal inverse perturbation control as a strictly convex optimization problem, w...
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ISBN:
(纸本)9781424441211
We study the robustness of the inverse perturbation solution in discrete-time systems modeled by homogeneous Markov chains. We cast the optimal inverse perturbation control as a strictly convex optimization problem, which admits a unique global solution. We show that the optimal inverse perturbation control is robust to estimation errors in the original network. The derived results are applied to the Human melanoma gene regulatory network, where the aim is to force the network to converge to a desired steady-state distribution of gene regulation.
The testing of cyber-physical systems requires validating device functionality for a wide range of operating conditions. The environment with which the cyber-physical device interacts, such as lungs for a medical vent...
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The testing of cyber-physical systems requires validating device functionality for a wide range of operating conditions. The environment with which the cyber-physical device interacts, such as lungs for a medical ventilator device or a busy freeway for an autonomous vehicle, may be complex and subsequently difficult to explore all possible configurations. computer simulations that utilize device and environment behavioral models may be used as a first stage of testing, but at some point development must occur using the real device running in real-time. We present a codesign framework for aiding cyber-physical device development where real devices or prototypes are connected to real-time models that simulate the interacting environment. Such test setups are known as digital mockups and allow for testing environment scenarios that are hard to capture with commonly-used but limited physical mockups. The framework supports model hardware/software codesign to enable models of varying speed and accuracy to be implemented within an embedded processor or as a custom coprocessor circuit on an FPGA. We describe an accompanying tool that generates code templates to reduce the time required to develop digital mockup test setups. We utilize the framework to build a digital mockup test setup for a commercial ventilator, and showcase codesign capabilities by implementing environmental models as both circuits and as instructions on a processor.
Handover delay in mobile communication causes degradation in system performance, especially when implemented in real-time applications. The first and most consuming phase in the handover process is the scanning phase....
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ISBN:
(纸本)9781424486045
Handover delay in mobile communication causes degradation in system performance, especially when implemented in real-time applications. The first and most consuming phase in the handover process is the scanning phase. This paper focuses on the trigger and the sequence in which the scanning is done to optimize this process. In this paper, a scanning and handover triggering scheme is proposed. It combines between the multi-scanning concept and the dynamic adaptation of the scanning activity triggering according to the changing down rate of the signal strength of the serving base stations. In addition, an adaptive handover threshold is considered to adapt the handover triggering. Numerical results show that the proposed scheme reduces the handover delay and enhances the resources utilization.
Worksheet is a common tool for teachers guiding students learning a subject. This research designs an automatic worksheet generator for constructing a worksheet according to the results of student's online exam. W...
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Carrier frequency offset (CFO) estimation is a challenging task in Wi-MAX uplink as it uses orthogonal frequency division multiple access (OFDMA) which demands extremely accurate frequency synchronization. Here each u...
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This paper presents a motor drive system based on the quasi-Z source inverter (qZSI) to control the pole-phase modulation (PPM) machines. With the inductor-capacitor (LC) impedance network, the qZSI can advantageously...
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When compared to crisp clustering, fuzzy clustering provides more flexible and powerful data representation. However, most fuzzy methods require setting some parameters, as is the case for our Graded Possibilistic c-M...
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Current neonatal illness scoring systems are not designed to predict outcomes for individual patients, but rather can provide an overview of a population of patients for objective comparison when reporting outcomes. H...
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