The flow shop scheduling problem with limited buffers( LBFSP) widely exists in manufacturing systems. A hybrid discrete harmony search algorithm is proposed for the problem to minimize total flow time. The algorithm p...
详细信息
The flow shop scheduling problem with limited buffers( LBFSP) widely exists in manufacturing systems. A hybrid discrete harmony search algorithm is proposed for the problem to minimize total flow time. The algorithm presents a novel discrete improvisation and a differential evolution scheme with the jobpermutation-based representation. Moreover,the discrete harmony search is hybridized with the problem-dependent local search based on insert neighborhood to balance the global exploration and local exploitation. In addition, an orthogonal experiment design is employed to provide a receipt for turning the adjustable parameters of the algorithm. Comparisons based on the Taillard benchmarks indicate the superiority of the proposed algorithm in terms of effectiveness and efficiency.
This paper proposes a model named Independent Component Analysis with Reference Curve（ICARC） to extract and remove artifact signal from Electroencephalogram（EEG）.Firstly,an additional requirement and a priori info...
详细信息
This paper proposes a model named Independent Component Analysis with Reference Curve（ICARC） to extract and remove artifact signal from Electroencephalogram（EEG）.Firstly,an additional requirement and a priori information are introduced directly into the contrast function of the traditional ICA ***,an augmented Lagrangian function is formed based on this new ***,the iterative solution is calculated by using the Newton iterative *** simulations and experiments are implemented to indicate the performance of our model comparing with other *** results show that:1) more stable results are given by our model;2) higher precision is obtained in the results by the ICARC model.
Model predictive control(MPC)is one of the best control strategies for the linear systems with ***,the optimization problems are indeed looking for the fundamental design limitations of the control *** the present pap...
详细信息
Model predictive control(MPC)is one of the best control strategies for the linear systems with ***,the optimization problems are indeed looking for the fundamental design limitations of the control *** the present paper,we will extend the theory of the fundamental design limitations to multi-input and multi-output(MIMO)model predictive control *** MPC system is a typical system,which measured output are not consistent with predicted *** robust MPC problem proposed has some nice *** makes a good trade-off between the reference tracking and the disturbance attenuation by considering the frequency domain of the closed-loop *** optimal controller is explicitly formulated to free from computation burden for online application,which shows a good potential for industrial *** a numerical example is used to demonstrate the proposed design procedure.
This paper is concerned with the H∞ fault detection (FD) for a class of networked systems with random packet losses, sensor saturation and multiplicative noises. The network with both output measurement and control p...
详细信息
ISBN:
(纸本)9781467391054
This paper is concerned with the H∞ fault detection (FD) for a class of networked systems with random packet losses, sensor saturation and multiplicative noises. The network with both output measurement and control packet losses is modeled with two independent Bernouli distributed white sequences. H∞ filtering theory is adapted to formulate the problem of fault detection for networked systems. The output measurement is affected by sensor saturation which is described by sector-nonlinearities, and the multiplicative noises are modeled as a form of Gaussian white noise. The purpose of the addressed problem is to design a fault detection filter such that, the fault detection dynamic system is exponentially stable in the mean square, and the error between the residual value and fault value is made as small as possible. A sufficient condition for FD filter is derived by solving the linear matrix inequality (LMI). Finally, a numerical example is illustrated to show the effectiveness of the designed method.
Clustering is an energy efficient routing protocol for wireless sensor networks. Traditional clustering methods can prolong the network lifetime and achieve scalable performance, but they do not consider the event dev...
详细信息
ISBN:
(纸本)9781467374439
Clustering is an energy efficient routing protocol for wireless sensor networks. Traditional clustering methods can prolong the network lifetime and achieve scalable performance, but they do not consider the event development. In many applications, the scalability and occurrence region of events often change. A dynamic clustering method with overlaps(DCMO) is proposed in this paper. Due to the 2-logical-coverage overlaps of the proposed clustering method, the clusters can be migrated with the changing tendency of events. As a result, the sensed data can be transmitted at a lower price. Simulations show that the proposed DCMO method has lower energy consumption, compared with LEACH protocol.
This paper investigates the stability and L_2-gain problems for a class of continuous-time periodic piecewise linear systems with possibly non-Hurwitz subsystems. First, the exponential stability of periodic piecewise...
详细信息
ISBN:
(纸本)9781479917730
This paper investigates the stability and L_2-gain problems for a class of continuous-time periodic piecewise linear systems with possibly non-Hurwitz subsystems. First, the exponential stability of periodic piecewise systems is studied by allowing the Lyapunov function to possibly non-monotonically decreasing over a period. A sufficient condition is established in terms of matrix inequalities. In light of the proposed Lyapunov function, the L_2-gain criterion is derived for periodic piecewise linear systems as well.
This paper investigates the problems of observer-based feedback controller synthesis for discrete-time linear systems under bounded peak disturbances. The control objective is to make the system state of the closed-lo...
详细信息
ISBN:
(纸本)9781479917730
This paper investigates the problems of observer-based feedback controller synthesis for discrete-time linear systems under bounded peak disturbances. The control objective is to make the system state of the closed-loop system under bounded peak disturbances converges to an ellipsoid that is as small as possible or converges to a pre-specified ellipsoid. In order to determine the observer gain and feedback gain in the observer-based controller, the matrix decoupling technique is adopted to derive the single-step matrix inequality conditions. A numerical example is given to show the validity of the theoretical findings.
The paper focuses on a stabilizing controller design problem for networked systems with quantization,mixed delays,and a series of packet losses due to the signal transmission through the unreliable communication *** o...
详细信息
The paper focuses on a stabilizing controller design problem for networked systems with quantization,mixed delays,and a series of packet losses due to the signal transmission through the unreliable communication *** of both sensor-to-controller and controller-to-actuator are taken into account for the networked systems,and the distributed time delay is also considered in the network *** conditions for designing the controller as well as the system parameters can be obtained by solving certain linear matrix ***,the effectiveness of the designed method is proved by a numerical example.
Synthesis gas (syngas) is mostly known by its use on ammonia and hydrocarbons (Fischer-Tropsch process) production. However, a less explored route to produce chemical products, among them alcohols and other oxygenates...
详细信息
Higher alcohols production from syngas through chemical route has gained attention over the last decade because of characteristics such as: short-time reaction, abundant and lower price feedstocks, the use of lignin (...
详细信息
暂无评论