This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designi...
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This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designing a novel sliding mode manifold incorporated with a disturbance estimation technique,a NDOB-based SMC method is designed for these systems.A rigorous stability analysis is *** compared with the nominal SMC method,the proposed method obtains a better disturbance rejection ability when the resistance load and input voltage are *** comparison results are provided to verify the effectiveness of the proposed control method.
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designe...
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ISBN:
(纸本)9781479970186
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designed observer is locally finite-time *** on the proposed observer,an output feedback linearization controller is proposed for position tracking control of the pneumatic servo *** simulations illustrate the effectiveness of the proposed velocity observer.
Social media has exploded beyond anyone's wildest imagination, and User Generated Content (UGC) is propagated online at an unparalleled level. Organizing and associating the heterogeneous UGC data in different soc...
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In recent years, microblog has become one of the most widely used social media for people to exchange ideas and express emotions. As information propagates fast in social network, it's crucial for governments and ...
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ISBN:
(纸本)9781479998906
In recent years, microblog has become one of the most widely used social media for people to exchange ideas and express emotions. As information propagates fast in social network, it's crucial for governments and public agencies to effectively monitor public sentiment implied in user-generated content. Most previous work of public sentiment analysis takes tweets of different users as a whole without considering the diverse word use of people. Thus, some sentiment words may be neglected in the process of analysis because they are only used by people of specific groups. Inspired by previous psychological findings that personality influences the ways people write and talk, we propose a personality based sentiment classification method. In order to capture more useful but not widely used sentiment words, our approach extracts textual features for people of different personality traits based on the Big Five model. Moreover, we adopt an ensemble learning strategy to utilize both personality related and commonly used textual features. Experimental study shows the effectiveness of our method.
In this paper, we present a novel robotic fish capable of maneuverability and yet with less joints. The maneuverability of the robotic fish is researched on two aspects: straight swimming and performing a turn before ...
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ISBN:
(纸本)9781479970995
In this paper, we present a novel robotic fish capable of maneuverability and yet with less joints. The maneuverability of the robotic fish is researched on two aspects: straight swimming and performing a turn before which, the mechanical structure, dynamic formula and posture of robotic fish are respectively designed and analyzed. Besides, the CPG-based control and the analysis of variation regulation in the oscillation amplitude of the fish tail are combined to determine the posture of the robotic fish. Next, underwater tests are performed on the robotic fish for collecting the data which provides the information to draw many conclusions.
In this paper, we establish a neural-network-based online learning algorithm to solve the finite horizon linear quadratic regulator (FHLQR) problem for partially unknown continuous-time systems. To solve the FHLQR pro...
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In this paper, we establish a neural-network-based online learning algorithm to solve the finite horizon linear quadratic regulator (FHLQR) problem for partially unknown continuous-time systems. To solve the FHLQR problem with partially unknown system dynamics, we develop a time-varying Riccati equation. A critic neural network is used to approximate the value function and the online learning algorithm is established using the policy iteration technique to solve the time-varying Riccati equation. An integral policy iteration method and a tuning law are used when the algorithm is implemented without the knowledge of the system drift dynamics. We give a simulation example to show the effectiveness of this algorithm.
Social exclusion, keeping free riders from benefit sharing, plays an important role in sustaining cooperation in our world. Here we propose two different exclusion regimes, namely, peer exclusion and pool exclusion, t...
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Social exclusion, keeping free riders from benefit sharing, plays an important role in sustaining cooperation in our world. Here we propose two different exclusion regimes, namely, peer exclusion and pool exclusion, to investigate the evolution of social exclusion in finite populations. In the peer exclusion regime, each excluder expels all the defectors independently, and thus bears the total cost on his own, while in the pool exclusion regime, excluders spontaneously form an institution to carry out rejection of the free riders, and each excluder shares the cost equally. In a public goods game containing only excluders and defectors, it is found that peer excluders outperform pool excluders if the exclusion costs are small, and the situation is converse once the exclusion costs exceed some critical points, which holds true for all the selection intensities and different update rules. Moreover, excluders can dominate the whole population under a suitable parameters range in the presence of second-order free riders (cooperators), showing that exclusion has prominent advantages over common costly punishment. More importantly, our finding indicates that the group exclusion mechanism helps the cooperative union to survive under unfavorable conditions. Our results may give some insights into better understanding the prevalence of such a strategy in the real world and its significance in sustaining cooperation.
This paper studies the leader-following consensus problem of discrete-time generic linear multi-agent systems. Agents share their states with their neighbors via a noisy communication network. An algorithm is proposed...
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ISBN:
(纸本)9781467374439
This paper studies the leader-following consensus problem of discrete-time generic linear multi-agent systems. Agents share their states with their neighbors via a noisy communication network. An algorithm is proposed for the leader-following consensus problem where the time-varying gain is employed to attenuate noises. Different from most previous results where all agents have to use the same time-varying gain, each agent can have its own time-varying gain. Sufficient conditions for solving the mean square leader-following consensus problem are obtained: 1) the communication topology graph has a spanning tree;2) the summation of every time-varying gain from zero to infinite is infinite;3) all time-varying gains are infinitesimal of the same order as time goes to infinity;and 4) all roots of a so-called "parameter polynomial" are inside the unit circle. Finally, a simulation example is given to verify the theoretical results.
A near minimum time feedback control law is proposed for the agile satellite attitude control system. The real time controller is formed by specially designed cascaded subunits. Based on this, the rapid attitude maneu...
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ISBN:
(纸本)9781467374439
A near minimum time feedback control law is proposed for the agile satellite attitude control system. The real time controller is formed by specially designed cascaded subunits. Based on this, the rapid attitude maneuvering can be applied in tasks including the move to move case. The near optimal property of that is guaranteed by the rapid dynamic response with a modified bang-bang control logic while simultaneously ensuring non-saturation properties on 3-Axis. The near optimal method is utilized for an online attitude planning, and the generated attitude maneuver path in real time is tracked by a nonlinear back-stepping controller with its improved dynamic performance and by which the united closed loop control is *** simulations are conducted to verify the effectiveness of the proposed control strategy.
Link flow is critical to investigate the traffic state in parallel transportation management and thus has been object of growing interest in the past few ***,tradition estimation methods mostly use partial link counts...
Link flow is critical to investigate the traffic state in parallel transportation management and thus has been object of growing interest in the past few ***,tradition estimation methods mostly use partial link counts only and convert this problem into observability *** paper proposed a new mathematical model based on both partial link counts and the Automatic Vehicle Identification *** approach is tested using the actual traffic data from the city of Chengdu,*** results indicate it is feasible to combine these two data sources to estimate the total link flows.
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