unknown nonlinear SISO systems
Neural Network Adaptive Control for a Class of Matched SISO Nonlinear Uncertain Systems with Zero Dynamics
... in nonlinear system ...practical systems, including isothermal continuous stirred tank reactors, aircraft trajectory tracking control systems and others, it is necessary to investigate their ...
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Adaptive Neural Network Method for Consensus Tracking of High-Order Mimo Nonlinear Multi-Agent Systems
... Lipchitz nonlinear network of agents subject to external ...of nonlinear multi-agent systems was investigated in [12] for directed graph and in [13] extended to the leader following problem under ...
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Fixed-time stabilization of second-order systems with unknown nonlinear inherent dynamics
... a SISO dynamic system, it was shown that any finite-time convergent homogeneous sliding mode controller could be transformed into a fixed-time convergent one, featuring an upper bound of convergence time ...
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Adaptive Neural Prescribed Performance DSC for Non Affine SISO Nonlinear Systems with External Disturbances
... fuzzy approximator for multi-input, multi-output (MIMO) systems is proposed. In (Ramezani et al., 2016) neuro- backstepping controller is designed for SISO non-affine systems with unknown gain ...
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A Novel Concise Adaptive Neural Control for a Class of Nonlinear MIMO Systems with Unknown Time Delays
... for nonlinear MIMO systems [8-10], comparing with the vast amount of results on control design for single-input, single-output (SISO) ...of nonlinear MIMO systems was ...both ...
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Time-varying Gain HOSM Control for SISO Uncertain Nonlinear System
... HOSM control is proposed to remove constraint of relative degree and improve sliding mode accuracy while reserving all the merits of conventional SMC. Among HOSM control, a series of arbitrary-order SMC schemes [5-8] are ...
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A Discrete Robust Adaptive Iterative Learning Control for a Class of Nonlinear Systems with Unknown Control Direction
... for nonlinear systems without prior knowledge on system control ...is unknown, Nussbaum-type gain function was used to design the AILC algorithms for SISO [14], [15] and MIMO [16] ...
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Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network
... the unknown single-input-single-output (SISO) delayed ...The unknown nonlinear func- tions of the system are approximated through Chebyshev neural networks ...the nonlinear system in ...
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Design & Analysis of Advanced Adaptive Neuro Fuzzy Interface systems for Nonlinear Networked Control Systems
... In addition to the computational complexity, the coupling variables is also an obstacle to obtain the sufficient conditions to synthesize systems. Combining adaptivecontrol with sliding mode control approaches, a ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... of SISO affine nonlinear uncertain ...an unknown ideal controller and the parameter adaptive laws is designed , based on the gradient descent method, to directly minimizing the error between the ...
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Reinforcement Learning in Neural Networks: A Survey
... 1402 | Page critic architecture, and an echo-state neural-network based modules that were trained in different ways on the iCub robot action learning (point, touch, and push). They found that the trained model is able to ...
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PAPR and Bandwidth Analysis of SISO OFDM/WOFDM and MIMO OFDM/WOFDM (WiMAX) for Multi Path Fading Channels
... Therefore, the present work, investigates the performances of several systems such as SISO, MISO and MIMO OFDM and wavelet based OFDM systems to reflect the expected improvements can be [r] ...
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Fault Detection for Systems with Multiple Unknown Modes and Similar Units
... Unfortunately, these approaches require a model set [57], with detection probability di- rectly dependent on how well the model set is designed. Specifically, the failure mode must be represented within the designed ...
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Nonlinear Algebraic Systems with Three Unknown Variables
... of nonlinear algebraic systems with three unknowns and is a continuation of the author's research in this ...for nonlinear algebraic of system of equations was built analog determinant of Kramer and ...
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An Estimated Replacement Approach for Stable Control of a Class of Nonlinear Systems with Unknown Functions of States
... Up to this point we have not taken a state boundedness and input constraints into account. However, for state boundedness, we can examine it using the error system boundedness. In this section, we only consider the case ...
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Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores
... many unknown parameters in the nonlinear dynamic model of the refuelling process for dealing with varying speed regions such as stoppage points, speed change from 2 ft/min to 20 ft/ min, ...the ...
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IJCSMC, Vol. 2, Issue. 12, December 2013, pg.338 – 343 RESEARCH ARTICLE A Context Aware Framework at Transport Layer to Improve QoS in Mobile Applications
... Due to regular introduction of new mobile devices, [5, 6, 7] new problems frequently arise thereby demanding new paradigms for computing. Also, the complex usage of mobile devices supplemented by limited resources for ...
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Robust Tuning Of Controller For Siso And Mimo Systems Using Coefficient Diagram Method
... There has been considerable effort for solving the problem of low frequency oscillations leading to instability of power systems. These modes of oscillations are characterized by low mechanical natural frequencies ...
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Study and Capacity Evaluation of SISO, MISO and MIMO RF Wireless Communication Systems
... MIMO systems often employs Spatial Multiplexing which enable signal to be transmitted across different spatial domains. MIMO is a hot topic in today wireless communications since all wireless technologies like ...
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A New Linear Space-Time Block Code for Wireless Channels with Correlated Fading Coefficients
... and SISO systems, the greater the gap in performance between the new code and orthogonal repetition-based codes and the wider the range of signal to noise ratios over which the proposed code performs ...
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