Vinay Kumar Deolia

Bio: Vinay Kumar Deolia is an academic researcher from GLA University. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 8, co-authored 43 publications receiving 181 citations.

Predictor Based Unknown Non-linear Discrete Time Delayed System Using Sliding Mode Control

Abstract: Sliding Mode Control (SMC) technique has been used in an extensive manner in many practical applications especially in motion control systems. This paper investigates non-linear discrete time systems accommodating input delay. Firstly, input delay is removed by introducing a smith predictor that converts the original discrete system into delayed free version of the system and makes it solvable. Then, for an effective control "reaching law method" is used to design control law and construction of sliding surface for the delayed free system. The Chebyshev Neural Networks (CNNs) are used to approximate the unknown non-linearity. Simulation shows the robustness of the control scheme.

DESIGN and simlation of UWB LNA using 0.18 μm CMOS technology

Abstract: This paper proposed an UWB LNA using 0.18μm CMOS technology with a wideband input matching circuit. The cascode structure and source degeneration are adopted to achieve low noise figure and high gain characteristics. Input reflection coefficient and reverse isolation are optimized in UWB band through parametric analysis. The proposed LNA achieves a high gain of 22.082dB at 5.059GHz and minimum noise figure of 1.094dB.

Performance improvement of idma scheme using chaotic map interleavers for future radio communication

Abstract: In this paper, chaos based interleavers are proposed for the performance improvement of Interleave Division Multiple Access (IDMA henceforth) for future radio communication (FRC) requirements. ‘IDMA’ can be mean as the modified case of direct sequence code division multiple access (DS-CDMA) with the same spreading sequences and user specific interleavers for distinguishing the users in multi-user environment. In IDMA systems, the roles of interleavers are pre-eminent and an efficient interleaver contributes in optimizing the system performance. Random interleaver is the popular and basic taxonomy in IDMA. The performance of chaos based interleavers is compared to random interleaver. Simulation results authenticate the performance of chaos based IDMA. Further the proposed chaotic map-interleavers have the less computational complexity and efficient in bandwidth compared to the existing prevailing interleaver algorithms in the domain. The IDMA system model uses a BPSK modulation and repetition coder with a code rate of 1⁄2. The system is simulated in MATLAB and results show the BER superiority of chaotic interleaver based IDMA without the need of extra storage resources and less computational complexity.

A Critical Study of Pitch Control Techniques used for Horizontal Axis Wind Turbines

Abstract: In recent times wind energy has emerged as a sustainable source of renewable energy and a substitute to the continuously depleting fossil fuels. Worldwide many countries are promoting the industries involved in harnessing wind energy for electricity production. This expansion in the integration of Wind turbine (WTs) in the power generation system has increased from few kilowatts to many Megawatts. Today wind energy is preferred sources of renewable energy and compels the researchers around the globe to technologically improve its control system designs. The various control methods of wind turbine are proposed for under rated speed regions as well as for above rated wind speed regions, this paper primarily focuses on later part and creates a detailed background of developments in a diverse region of pitch control methodologies combined pitch control or individual pitch control methods involving conventional PI/PID controllers, gain scheduling methods, Sliding mode controllers (SMC), Expert systems like Fuzzy logic controller (FLC), Neural networks (ANN), adaptive control methods and their hybrids to serve as an initial point for new researchers starting to explore in this domain.

An LMI Approach for the Stabilization of Discrete-Time Delay Nonlinear Systems Using Backstepping

Abstract: In this paper, an-LMI approach is utilized for the stabilization of Discrete-Time Delay Nonlinear Systems (DTDNS). The delay provided is state-delay. The control criterion is derived in terms of linear matrix inequalities (LMI's). The controller is designed by making use of back stepping technique. By choosing an appropriate Lyapunov function, some mathematical manipulations have been carried out to deduce simple LMI condition for asymptotic stabilization. The effectiveness and the applicability of the proposed control law is verified through simulation.

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

Abstract: 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.

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

Abstract: 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.

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

Abstract: 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.

A survey on sliding mode control for networked control systems

Abstract: 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...