This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functio...
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This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking *** studies are provided to demonstrate the effectiveness of the proposed scheme.
Eye tracking is widely useful in several fields especially in medical field to help human diagnosis and treatment. The proposed of this study is to develop eye tracking system using intensity measurement algorithm and...
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Eye tracking is widely useful in several fields especially in medical field to help human diagnosis and treatment. The proposed of this study is to develop eye tracking system using intensity measurement algorithm and apply into ophthalmic operating microscope. The proposed method has been proved to be accurate, reliable, and stable.
The aim of this paper is to describe a research roadmap for a multi-domain model-driven embedded systems design approach and the corresponding meta-model which is applicable to the domain of complex Industrial Automat...
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The aim of this paper is to describe a research roadmap for a multi-domain model-driven embedded systems design approach and the corresponding meta-model which is applicable to the domain of complex Industrial automation and control Systems (IACS). The special requirements of the industrial automation sector are taken into account by this novel approach, utilizing existing model-driven techniques. This approach is currently being developed in the Framework Seven (FP7) Embedded Systems Design project MEDEIA funded by the European Commission.
Node localization is an important problem for location-dependent applications of wireless sensor networks. Aiming at the positioning problem of wireless sensor networks node location, an improved DV-Hop localization a...
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ISBN:
(纸本)9781424447411
Node localization is an important problem for location-dependent applications of wireless sensor networks. Aiming at the positioning problem of wireless sensor networks node location, an improved DV-Hop localization algorithm is proposed in this paper. The proposed method firstly recalculates the hop-size and sends different correction along different directions instead of computing a single correction to be broadcasted into the networks. Then we empirically evaluate the difference between distance estimate and actual distance through a number of simulation experiments statistical results. We find empirical parameter to improve the accuracy of distance estimate. Simulation results show that the performance of the proposed scheme outweighs classical DV-Hop algorithms, especially in lower connectivity.
A modified predictive optimal control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques is proposed in this paper for reheater steam temperature (RST) control of a large-s...
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A modified predictive optimal control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques is proposed in this paper for reheater steam temperature (RST) control of a large-scale boiler unit. A recurrent neural network is trained to directly model the temperature dynamic response of the reheater system. The neural network direct model is then used to evaluate the performance of the MPOC in search of the optimal control, where optimization is carried out with the PSO. A simplified PSO algorithm with search direction control is designed to find the nearest and optimal controls for the reheater steam temperature. To further improve the optimal search accuracy, each last-step prediction error between the direct model output and the actual RST is added to the current-step cost function to compensate for the model error. control tests on a full-scope simulator of a large scale power generating unit have shown the validity of the proposed method.
A flux density distribution measurement system for rotating parabolic concentrators is designed and developed. The pictures of the distribution on focal plane and other defocused planes of the concentrator are taken b...
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A flux density distribution measurement system for rotating parabolic concentrators is designed and developed. The pictures of the distribution on focal plane and other defocused planes of the concentrator are taken by using an indirect method with a Lambert target and a CCD camera. The pictures are saved and processed by computer. The calibration method of system is introduced and the spot distribution picture of focal plane is presented. The measurement result is compared with the calculated result by Monte Carlo method. At last, the main system errors are analyzed. The experiment results show that the measurement error of flux density is 6.85%.
This paper addresses the switching LPV techniques aiming to improve the control performance of a class of nonlinear systems that can be approximated by a family of linear parameter varying (LPV) models for the entire ...
This paper addresses the switching LPV techniques aiming to improve the control performance of a class of nonlinear systems that can be approximated by a family of linear parameter varying (LPV) models for the entire operation envelope. The proposed method provides a systematical strategy for the controller synthesis for such class system which can guarantee the global stability of the closed loop. The proposed method is further applied to the air path system of diesel engines which is critical for reducing the emissions. Due to its strong nonlinearity the working envelope of the air path system is divided into four subregions and in each subregion an LPV model is built. Accordingly, a gain scheduled LPV controller is synthesized for each nominal LPV model, the system is then regulated by hysteresis switching logic among a family of LPV controllers. The effectiveness of the proposed method is illustrated by simulations.
This paper addresses the issue on gain scheduled quasi linear parameter varying (LPV) control strategy for the air path system of diesel engines, which plays a critical role for the emission reduction of diesel engine...
This paper addresses the issue on gain scheduled quasi linear parameter varying (LPV) control strategy for the air path system of diesel engines, which plays a critical role for the emission reduction of diesel engines. Due to the strong nonlinearities of the underlying system, traditional linear control algorithm can not achieve a satisfactory control performance. In this paper, the considered nonlinear plant is approximated as an Hammerstein quasi-LPV system in the first place. An advanced quasi-LPV gain scheduled control strategy is applied to the underlying system. The effectiveness of the new control algorithm is illustrated by the simulations.
A novel dynamic software watermark scheme based on the Shamir threshold and branch structure is presented. First, we split the watermark into a set of shares using the Shamir threshold scheme. Second, these values are...
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A novel dynamic software watermark scheme based on the Shamir threshold and branch structure is presented. First, we split the watermark into a set of shares using the Shamir threshold scheme. Second, these values are encrypted with the DES block cipher that forms the watermark shares to be embedded into different methods of program according to the dynamic behavior of the branch structure. Our scheme can withstand most semantics-preserving attacks and can retrieve the original watermark based on partial information. Simulation tests show that our scheme is very robust, stealthy and has a high price performance rate compared with other methods.
Due to the design knowledge discrepancy during collaborative design, conflicts can be revealed from the process of collaborative design decision. A critical element of collaborative design would be conflict resolution...
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ISBN:
(纸本)9781424416509
Due to the design knowledge discrepancy during collaborative design, conflicts can be revealed from the process of collaborative design decision. A critical element of collaborative design would be conflict resolution. The conflict resolution is correlative with both of the knowledge granulation and specific method provided. In this paper, granularity is used to describe rules acquainted based on the concept of rough degree. In this condition, A feasible distance formula between different rules is constructed according to the requirement of describing the distance between different rules and the definition of attribute significance in information system with rough theory, in which the operator of attribute importance is introduced, and then traditional conflict resolutions are analyzed. As a result, the concept of rule set evolution is put forward, and the instance is introduced to explain the efficiency of new method.
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