Vol 53, No 2 (2019)

The optimization problem for nonlinear autonomous systems is considered. The proposed control synthesis method is based on the interval model of a nonlinear plant. The control synthesized ensures the stability and optimality of the closed-loop system under large deviations from the steady state. An example of using the proposed method to synthesize control for an aircraft is presented.

In this paper, a switching control strategy based on control performance assessment index namely Harris index and a fuzzy supervisor has been proposed for a perturbed discrete-time system subject to uncertainty. In the switching strategy, multiple controllers are utilized so that their virtues such as robustness, minimum output variance and minimum domain of control effort have been achieved simultaneously. Disadvantages of the used controllers like chattering and sensitivity to uncertainty are also improved. The Switching strategy has been designed in three steps. First of all, proper controllers have been designed which are minimum variance, incremental minimum variance and quasi sliding mode controllers. Then, Harris index and fuzzy supervisor are also designed in the next steps respectively. The Harris index has been determined to select proper controller among the available controllers for regulatory and tracking problems. The fuzzy supervisor is also designed to improve Harris index performance. The fuzzy supervisor is Sugeno type which can be used as a supervisor on Harris index operation, especially in presence of uncertainties. Finally, simulation results show that proposed control strategy improves the output variance effectively, reduces chattering domain of control input and sensitivity to uncertainty.

This paper focuses on the game decision-making technology for the multi-agent confrontational environment. A new mission decision-making method of multi-agent cooperative attack on the multi-object is elaborated based on two-person non-cooperative complete information static game model. The proposed method is implemented into the intelligent decision-making technology for the two sides’ attack via the Nash equilibrium optimization. A case study is analyzed, which results illustrate that this method can realize the intelligent forecasting and multi-agent decision-making, as well as confirm the feasibility of this technology in the confrontational intelligent decision-making.

Location information plays a pivotal role in geographic routing protocols for packet routing. Network based services provide the location-based services with location information maintained in a distributed manner. In spite of their intimate association, location services and routing need to be considered separately. Hence, in the evaluation of the overheads of geographic routing, the resultant overhead of the location-based service is not reckoned. The projected purpose here is to integrate the protocols of routing and the services based on location, to minimize the routing overhead and latency in communication. Our chief contribution is the reduction of location overhead. We are proposed Geographic Routing Protocol is combined with the Grid Location Service. Instead of placing a request for exact position, the packet is sent to the earlier destination position. As the packet nears the former position, then the exact location is requested. Simulation results satisfactorily establish the complexity of the analysis and positive output regarding latency, the ratio of packet delivery and the overhead of control message.

A method for representing fuzzy sets for Walsh spectral analysis is proposed. The example demonstrates the method of cauterization of the fuzzy sets with employment of linear filters. The possibility of application of commutation neuro-structures in clustering is noted.

Three-dimensional (3D) reconstruction of fluorescence microscopic images is a challenging topic in the image processing, because the imaging system is very complex, and the point spread function (PSF) continuously varies along the optical axis. Generally, the more exact the PSF is, the higher the reconstruction accuracy is. An image reconstruction method is proposed for fluorescence microscopic sample based on space-variant PSF (SV-PSF) which is generated by cubic spline theory in this paper. Firstly, key PSFs are estimated by blind deconvolution algorithm at several depths of fluorescence microscopic image stack along the optical axis. Then, other PSFs are interpolated using cubic spline theory. Finally, a 3D microscopic specimen model is reconstructed by this group of SV-PSFs. The experimental results show that the proposed method is obviously superior to the method in which space-invariant (SI) PSF is used to reconstruct the simulated and real fluorescence microscopic images.