다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

In this paper, an adaptive fuzzy optimal control design is addressed for a class of unknown nonlinear discrete-time systems. The controlled systems are in a strict-feedback frame and contain unknown functions and nonsymmetric dead-zone. For this class of systems, the control objective is to design a controller, which not only guarantees the stability of the systems, but achieves the optimal control performance as well. This immediately brings about the difficulties in the controller design. To this end, the fuzzy logic systems are employed to approximate the unknown functions in the systems. Based on the utility functions and the critic designs, and by applying the backsteppping design technique, a reinforcement learning algorithm is used to develop an optimal control signal. The adaptation auxiliary signal for unknown dead-zone parameters is established to compensate for the effect of nonsymmetric dead-zone on the control performance, and the updating laws are obtained based on the gradient descent rule. The stability of the control systems can be proved based on the difference Lyapunov function method. The feasibility of the proposed control approach is further demonstrated via two simulation examples.

Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone

Reactive matching is extended to wide bandwidths using the impedance property of LC-ladder filters. In this paper, we present a systematic method to design wideband low-noise amplifiers. An SiGe amplifier with on-chip matching network spanning 3-10 GHz delivers 21-dB peak gain, 2.5-dB noise figure, and -1-dBm input IP3 at 5 GHz, with a 10-mA bias current.

A 3-10-Ghz low-noise amplifier with wideband LC-ladder matching network

In the paper, an adaptive tracking control design is studied for a class of nonlinear discrete-time systems with dead-zone input. The considered systems are of the nonaffine pure-feedback form and the dead-zone input appears nonlinearly in the systems. The contributions of the paper are that: 1) it is for the first time to investigate the control problem for this class of discrete-time systems with dead-zone; 2) there are major difficulties for stabilizing such systems and in order to overcome the difficulties, the systems are transformed into an n -step-ahead predictor but nonaffine function is still existent; and 3) an adaptive compensative term is constructed to compensate for the parameters of the dead-zone. The neural networks are used to approximate the unknown functions in the transformed systems. Based on the Lyapunov theory, it is proven that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error converges to a small neighborhood of zero. Two simulation examples are provided to verify the effectiveness of the control approach in the paper.

Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone Input

In the framework of the networked control systems (NCSs), the components are connected with each other over a shared band-limited network. The merits of NCSs include easy extensibility, resource sh...

A survey on sliding mode control for networked control systems

This paper proposed the analysis of a new chaos based interleave division multiple access (CB-IDMA) wireless communication system. It also proposed the use of joint turbo equalization to mitigate the effect of intersymbol interference (ISI) in deep faded frequency selective channel. In this study, the proposed CB-IDMA system used the chaotic Tent map for the design of a robust interleaver, which produces low correlation among the users and yields better bit error rate performance. The proposed structure combined the joint turbo equalization for the cancellation of ISI and multiple access interference (MAI), which was observed as the main impediment to successful IDMA communication over frequency selective multipath fading channel. Two types of frequency domain equalizers were considered for performance evaluation; zero forcing (ZF) and minimum mean square error (MMSE) equalizer. Simulation experiments were performed in MATLAB and the results demonstrated that the proposed CB-IDMA system with joint turbo equalization may be preferred in deep fading environment.

Performance Evaluation of Chaos Based IDMA Scheme Using Joint Turbo Equalization Over Frequency Selective Fading Channel

In paper machine, critical sub-process is Headbox. There are two input and output process in headbox and there will be a noticeable amount of loop interaction. Based on its operation, paper quality is defined. In order to produce paper with good quality, precise control is needed. In this research, Artificial Bee Colony algorithm technique and particle swarm optimization (PSO) are combined to form a hybrid H-PSOABC method to design a head box’s proportional integral derivative (PID) controller. Conventional PID controllers are used to make a comparison of robustness and performance of H-PSOABC-PID controller. The comparison is made with respect to ITAE, ITSE, IAE, ISE, time and frequency response.

http://www.testmagzine.biz/index.php/testmagzine/article/download/944/853

Tunning of PID Controller for Paper Machine Headbox using Hybrid PSOABC Algorithm

Abstract Sixth generation (6G)-enabled internet of things (IoT) requires significant spectrum resources to deliver spectrum availability for massive IoT’s nodes. But the existing orthogonal multiple access limits the full utilization of limited spectrum resources. The non-orthogonal multiple access (NOMA) exploits the potential of power domain to improve the connectivity for 6G-enabled IoT. An efficient quality of service (QoS) aware power allocation approach is required to enhance the spectral efficiency and energy of NOMA based 6G-enabled IoT nodes. The multi-objective genetic algorithm (MOGA) is used to resolve the non-convex problem by considering the successive interference cancellation (SIC), QoS, and transmission power. Extensive experiments are drawn by using the Monte Carlo simulation to evaluate the significant improvement of the proposed model. Experimental results indicate that the proposed power allocation model provides good performance of the NOMA based IoT network.

https://sciendo.com/pdf/10.2478/jee-2023-0012

Allocation of power in NOMA based 6G-enabled internet of things using multi-objective based genetic algorithm

In IDMA conspire interleavers are utilized to recognize the distinctive clients that subsequently influence the framework throughput. In this paper the execution of Random interleaver (RI), Tree based Interleaver (TBI) and clamorous interleavers are dissected dependent on memory necessity, multifaceted nature and mistake rate. The reproduction results demonstrate that disorder based interleaver configuration can accomplish the better execution.

Analysis for Optimal Interleaver in Multi-user IDMA Communication System

This paper contains the linear time varying systems with discrete time sliding mode control with modified switching function. The changed sliding surface improves control input in the initial phase and reduces the chattering with improved robustness. Also the system state is uniformly eventually bounded with better asymptotic convergence under the existence of time varying disturbances.

Vinay Kumar Deolia

Papers

Performance Evaluation of Chaos Based IDMA Scheme Using Joint Turbo Equalization Over Frequency Selective Fading Channel

Tunning of PID Controller for Paper Machine Headbox using Hybrid PSOABC Algorithm

Allocation of power in NOMA based 6G-enabled internet of things using multi-objective based genetic algorithm

Analysis for Optimal Interleaver in Multi-user IDMA Communication System

A Discrete-Time Sliding Mode Controller with Modified Function for Linear Time-Varying Systems