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Dissertations / Theses on the topic 'MIMO Nonlinear Systems'

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1

Rolim, Fernandes Carlos Alexandre. "Nonlinear MIMO communication systems : channel estimation and information recovery using Volterra models." Nice, 2009. http://www.theses.fr/2009NICE4002.

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Cette thèse introduit de nouvelles méthodes de traitement du signal avec des applications pour les systèmes de communications radio-mobiles. Basés sur les relations de symétrie et de redondance des cumulants d’ordre 4 des signaux de sortie du canal, nous traitons le problème de l’identification aveugle de canaux en utilisant la décomposition Parafac du tenseur des cumulants. Nous développons des algorithmes d’identification aveugles basés sur une minimisation de type moindres carrés à pas unique (SS-LS), permettant d’éviter toute sorte de traitement au préalable. L’approche SS-LS induit une so
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Wang, Zhao. "Lyapunov-Based Control Design for Uncertain MIMO Systems." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5558.

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In this dissertation. we document the progress in the control design for a class of MIMO nonlinear uncertain system from five papers. In the first part, we address the problem of adaptive control design for a class of multi-input multi-output (MIMO) nonlinear systems. A Lypaunov based singularity free control law, which compensates for parametric uncertainty in both the drift vector and the input gain matrix, is proposed under the mild assumption that the signs of the leading minors of the control input gain matrix are known. Lyapunov analysis shows global uniform ultimate boundedness (GUUB)
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Zeng, Sheng. "Robust Adaptive Control Design for Classes of SISO and MIMO Linear Systems Under Noisy Output Measurements." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172767648.

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4

Jiang, Ping, and H. Chen. "Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems." IEEE, 2005. http://hdl.handle.net/10454/3500.

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Yes<br>An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed
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Nowak, Xi [Verfasser], and Dirk [Akademischer Betreuer] Söffker. "Data-driven Adaptive Stabilizer for Unknown Nonlinear Dynamic MIMO Systems Using a Cognition-based Framework / Xi Nowak. Betreuer: Dirk Söffker." Duisburg, 2016. http://d-nb.info/1099910234/34.

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Nowak, Xi Verfasser], and Dirk [Akademischer Betreuer] [Söffker. "Data-driven Adaptive Stabilizer for Unknown Nonlinear Dynamic MIMO Systems Using a Cognition-based Framework / Xi Nowak. Betreuer: Dirk Söffker." Duisburg, 2016. http://d-nb.info/1099910234/34.

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7

Nguyen, Chuong Hoang. "Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71312.

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Functional Electrical Stimulation (FES) is a technique that applies electrical currents to nervous tissue in order to actively induce muscle contraction. Recent research has shown that FES provides a promising treatment to restore functional tasks due to paralysis caused by spinal cord injury, head injury, and stroke, to mention a few. Therefore, the overarching goal of this research work is to develop FES controllers to enable patients with movement-disorder to control their limbs in a desired manner and, in particular, to aid Parkinson's patients to suppress hand tremor. In our effort to dev
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Mollén, Christopher. "High-End Performance with Low-End Hardware : Analysis of Massive MIMO Base Station Transceivers." Doctoral thesis, Linköpings universitet, Kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143455.

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Massive MIMO (multiple-input–multiple-output) is a multi-antenna technology for cellular wireless communication, where the base station uses a large number of individually controllable antennas to multiplex users spatially.  This technology can provide a high spectral efficiency.  One of its main challenges is the immense hardware complexity and cost of all the radio chains in the base station.  To make massive MIMO commercially viable, inexpensive, low-complexity hardware with low linearity has to be used, which inherently leads to more signal distortion.  This thesis investigates how the deg
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Vaerenbergh, Steven Van. "Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals." Doctoral thesis, Universidad de Cantabria, 2010. http://hdl.handle.net/10803/10673.

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En la última década, los métodos kernel (métodos núcleo) han demostrado ser técnicas muy eficaces en la resolución de problemas no lineales. Parte de su éxito puede atribuirse a su sólida base matemática dentro de los espacios de Hilbert generados por funciones kernel ("reproducing kernel Hilbert spaces", RKHS); y al hecho de que resultan en problemas convexos de optimización. Además, son aproximadores universales y la complejidad computacional que requieren es moderada. Gracias a estas características, los métodos kernel constituyen una alternativa atractiva a las técnicas tradicionales no li
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Rahideh, Akbar. "Model identification and robust nonlinear model predictive control of a twin rotor MIMO system." Thesis, Queen Mary, University of London, 2009. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1885.

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This thesis presents an investigation into a number of model predictive control (MPC) paradigms for a nonlinear aerodynamics test rig, a twin rotor multi-input multi-output system (TRMS). To this end, the nonlinear dynamic model of the system is developed using various modelling techniques. A comprehensive study is made to compare these models and to select the best one to be used for control design purpose. On the basis of the selected model, a state-feedback multistep Newton-type MPC is developed and its stability is addressed using a terminal equality constraint approach. Moreover, the stat
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Kuo, Zu-Hung, and 郭致宏. "CONTROLLER DESIGN FOR NONLINEAR MIMO SYSTEMS WITH UNMATCHED UNCERTAINTIES." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/08729001918600710396.

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碩士<br>大同工學院<br>電機工程研究所<br>87<br>In this thesis, two decentralized adaptive fuzzy controllers for nonlinear multi-input multi-output (MIMO) systems and nonlinear large-scale systems with high-order and unmatched uncertainties is provided. The design is based on the principle of sliding mode control, input-output (i/o) linearizing controller, and the approximation capability of adaptive fuzzy systems. For alleviating the chattering phenomenon caused by the sign function, we use the fuzzy controller output to replace the sign function. The adaptive fuzzy system incorporates human expert knowle
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Shen, Chin-Ning, and 申沁寧. "Nonlinear Quantization of LLR in SISO/MIMO BICM Systems." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/98121879030747628685.

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碩士<br>國立交通大學<br>電信工程研究所<br>99<br>As well known, soft decoding can have better performance than hard decoding. However, the computational complexity of soft decoding can be much higher. In communication systems, soft-bit information is usually represented by the log likelihood ratio (LLR). Before entering the decoder, the LLR values must be quantized. The numbers of quantized bits directly influence the decoder’s complexity. Also, in the hybrid automatic retransmission request (HARQ), the old LLR values must be stored to be combined with the new LLR values. The numbers of quantized bits directl
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李建誠, Chien-Cheng Lee, and 李建誠. "Fuzzy Brain Emotional Learning Control for MIMO Nonlinear Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/16347773176441705941.

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碩士<br>元智大學<br>電機工程學系<br>104<br>This thesis presents a type-2 fuzzy brain emotional learning control (T2FBELC) for multi-input multi-output (MIMO) nonlinear system. This controller combines the characteristics of type-2 fuzzy inference system and the structure of BELC; and it is suitable for the applications on MIMO system with complex structure and complicated for determination. Finally, the proposed type-2 FBELC is applied to unmanned vehicle flight control and antilock braking system; and the simulation results have illustrated the effectiveness of the proposed control system for ac
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Chen, Ho-Sheng, and 陳和生. "ROBUST ADAPTIVE FUZZY TRACKING CONTROL DESIGN FOR MIMO NONLINEAR SYSTEMS." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8qkr77.

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博士<br>大同大學<br>電機工程學系(所)<br>102<br>In this dissertation, we propose robust types-1 and -2 fuzzy adaptive control schemes for a class of uncertain MIMO nonlinear systems with plant uncertainties, gain of the delay state uncertainties, and dead-zone uncertainties. First, the Fuzzy Logic System (FLS) learning algorithm is used to approximate the unknown nonlinear functions. Since the grades of membership functions for type-1 fuzzy systems may become uncertain in values, the control problem can not easily handle the nonlinear systems subject to parameter uncertainties, and may degrade the performan
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Wen, Yao-Wei, and 溫曜亹. "Intelligent Robust Wavelet Neural Network Control for MIMO Nonlinear Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/61008440293064209023.

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碩士<br>元智大學<br>電機工程學系<br>95<br>This thesis focus on an adaptive wavelet neural network (AWNN) controller and it is applied to the multi-input multi-output systems. The proposed WNN system is comprised of a principle controller and a compensation controller. The principle controller is an identifier using AWNN to estimate the uncertain nonlinear function of the MIMO system. An controller is used as the compensation controller to enhance the robustness. In Chapter 3, we add the sliding-mode technique into the AWNN controller to enhance the effectiveness. The simulation results demonstrate the e
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Lin, Yen-Chou, and 林彥州. "Adaptive PID Fault Tolerant Controllers for Unknown Nonlinear MIMO Systems." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/36932397027253862139.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>94<br>Based on the evolutionary programming (EP) combined with the steepest descent method and the linear programming (LP) combined with the steepest descent method respectively, two adaptive multivariable PID fault tolerant controller schemes for the unknown nonlinear multi-input multi-output (MIMO) systems are proposed in this thesis. In the case of nonlinear dynamic system, and for monotonic nonlinearity, a neural network adapted with the extended Kalman filter is created to estimate the most accurate equivalent system model online, then the EP or LP is used fo
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17

Kuo, Ming-Feng, and 郭名峰. "RBF Neural Network Adaptive Backstepping Controllers for MIMO Nonlinear Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/p5x686.

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碩士<br>國立臺灣師範大學<br>應用電子科技學系<br>97<br>This thesis proposes a radial basis function neural network adaptive backstepping controller (RBFNN_ABC) for multiple-input multiple-output (MIMO) affine and nonaffine nonlinear systems in block-triangular form. The control scheme incorporates the adaptive neural backstepping design technique with a first-order filter at each step of the backstepping design to avoid the higher-order derivative problem, which is generated by the backstepping design. This problem may produce an unpredictable and unfavorable influence on control performance because higher-order
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18

LIN, Jhih-Wei, and 林志瑋. "Reduced Indirect Adaptive Fuzzy Decoupling Control for MIMO Nonlinear Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/2n5a23.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>104<br>In this study, a novel design approach is proposed for controlling multi-input multi-output (MIMO) nonlinear systems. This approach is referred to as reduced indirect adaptive fuzzy decoupling control. A main concern for MIMO systems is coupling effects. The coupling problem can be regarded as disturbance existing in all subsystems of a MIMO system. Thus, in the literature, an adaptive fuzzy robust control scheme was proposed to resolve this problem by considering tracking control. Even though that approach indeed can have good robust control performance, due
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19

Liu, Hung-Yeh, and 呂宏業. "Observer-Based Direct Adaptive Fuzzy Control for Unknown Nonlinear MIMO Dynamical Systems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/16845594799547673192.

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碩士<br>逢甲大學<br>電子工程所<br>93<br>Abstract In this thesis, an observer-based direct adaptive fuzzy output tracking control scheme which is based upon a combination of the tracking theory, VSS control algorithm and fuzzy control design is developed for a class of nonlinear multiple-input multiple-output (MIMO) dynamical systems. By using the state observer to estimate the system states, it only requires the system outputs are available for measurement. Furthermore, in order to suppress the influence of external disturbance and remove fuzzy approximation, the control and VSS control are designed
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20

Lai, Chin-Kun, and 賴晉堃. "Optimal Digital Observer-Based Tracker of Nonlinear MIMO Systems under Input Constraints." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/44269693636552393789.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>96<br>This thesis presents a new multi-objective evolutionary programming (MOEP)-based digital redesign scheme to find an optimal low-gain digital tracker of nonlinear MIMO systems under input constraints. The new MOEP is more effective to distinguish the level of violating constraints, reduce the convergent time and find more good parameters of the digital tracker. There are two different systems to be considered. i) For a unknown nonlinear MIMO systems, the discrete-time system matrices are gotten through observer/Kalman filter identification (OKID) method. ii)
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Ju, Yu-hui, and 朱鈺惠. "Observer-Based Indirect Adaptive Fuzzy Control for Unknown Nonlinear MIMO Dynamical Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/89900929961388895789.

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碩士<br>逢甲大學<br>資訊電機工程碩士在職專班<br>95<br>In this thsis, an observer-based adaptive fuzzy controller for a class of nonlinear MIMO dynamical systems involving plant uncertainties and external disturbances is proposed. Three control techniques, i.e., adaptive fuzzy control scheme, VSS control design and tracking theory, are incorporated to solve the robust nonlinear tracking problem. The effect of the approximation error via adaptive fuzzy system on the tracking control relies only on the solution of an algebraic Riccati-like matrix equation. The stability of the resulting closed-loop system in t
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Tseng, Fan-Shuo, and 曾凡碩. "Linear and Nonlinear Transceiver Designs in Amplify-and-Forward MIMO Relay Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/83348291014132842737.

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博士<br>國立交通大學<br>電信工程系所<br>98<br>The transceiver design in three-node amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems involve two links, the direct and relay links, and two precoders, the source and relay precoders. Most existing methods only consider the design with a relay precoder, and some even ignore the direct link. In this dissertation, we propose new linear/nonlinear transceiver design methods taking the direct and relay links into account, and jointly optimizing the source and relay precoders. In our designs, the relay precoder is linear, and the source pre
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Wu, Bing-gang, and 吳秉剛. "Limited Feedback Designs for Nonlinear Transceiver in Dual-Hop Amplify-and-Forward MIMO Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/23423060181891490945.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>102<br>In this thesis, we study the nonlinear transceiver designs with limited feedback mechanism in the multiple-input multiple-output (MIMO) amplify-and-forward relay systems. We consider two nonlinear receivers, QR - successive interference cancellation (SIC) and minimum mean-squared error (MMSE) SIC receivers, to jointly design the codeword selection criteria for the source and relay precoders. Considering the acquired channel state information (CSI), we proposed two kinds of codewords selection criteria. For the first, the destination exploits the global CSI,
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Li, Chia-Ching, and 李家慶. "ADAPTIVE OUTPUT FEEDBACK INTEGRAL TYPE SLIDING MODE CONTROL FOR NONLINEAR DISCRETE-TIME MIMO SYSTEMS." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25578665289309116005.

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碩士<br>大同大學<br>電機工程學系(所)<br>100<br>For a class of uncertain nonlinear discrete-time multi-input-multi-output (MIMO) systems, this thesis presents an integral-type sliding mode control (ISMC) method to deal with the control problem. First, a robust observer is used to estimate unknown states of the controlled system. Next, the reaching condition and the sliding condition of the system behavior can be satisfied by the proposed control law based on the integral-type sliding surface. Moreover, some adaptive laws are introduced to estimate the upper bounds of the unknown uncertainties. By the Ly
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Cheng, Hsueh-Hung, and 鄭學鴻. "Applications of Fuzzy Brain Emotional Cerebellar Model Articulation Control System for MIMO Nonlinear Systems and Firm Bankruptcy Prediction." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/42727180542882164219.

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碩士<br>元智大學<br>電機工程學系<br>105<br>This thesis designs a fuzzy Brain Emotional Cerebellar Model Articulation Controller (FBECMAC) and applies it to MIMO nonlinear control systems. The FBECMAC combines cerebellar model with a brain model to produce a new neural network model, which imitates judgment of cerebellar and emotion of a brain. The brain has an amygdala cortex and a prefrontal cortex, so that the FBECMAC contains two neural networks; the amygdala cortex is a sensory neural network and the prefrontal cortex is an emotional neural network. The proposed FBECMAC has learning ability and can ad
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Lin, Xue Lin, and 林學麟. "Robust H infinity Adaptive Fuzzy Tracking Control for MIMO Nonlinear Stochastic Poisson Jump Diffusion Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/rq253d.

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碩士<br>國立清華大學<br>電機工程學系<br>104<br>Recently, stochastic Poisson jump diffusion system has attracted much attention in stochastic control. Poisson jump process has been used to model the random discontinuous jump behavior of the intrinsic discontinuous perturbation in stochastic system. Wiener process also called diffusion process represents the continuous random fluctuation to the system. In this study, an adaptive control is introduced for multi-input multi-output (MIMO) nonlinear stochastic Poisson jump diffusion system with continuous and discontinuous random fluctuations to achieve the con
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Tseng, Tsai-Jung, and 曾才榮. "On-line Adaptive Neural Control for MIMO Nonlinear Systems Tracking Using Diagonal Recurrent Neural Network model." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/67803205731173463255.

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碩士<br>國立交通大學<br>電機與控制工程系<br>90<br>A approach for on-line adaptive neural control of MIMO nonlinear systems is explored in this thesis with sliding gain using diagonal recurrent neural network (DRNN) learning model. We use the nonlinear state feedback to design the control input of a nonlinear system containing several unknown parameters of nonlinear systems. These parameters are estimated by diagonal recurrent neural networks with on-line modeling. The resulting adaptive learning law, which is designed by sliding mode update, can adjust the weights of DRNN to the optimal value for modeling in
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Hsu, Wen-teng, and 許文騰. "A New Digital Redesign Tracker by Using Observer/Kalman Filter Identification for Unknown Nonlinear MIMO Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/31947735044241133520.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>95<br>The thesis aims at using digital redesign (DR) method to redesign Observer/Kalman Filter Identification (OKID) and to get observer-based digital redesign tracker. The thesis uses digital redesign to improve the observer of OKID. We can design linear controller to obtain effective track for unknown nonlinear MIMO systems. The linear model that be designed by OKID can replace the original system. Therefore we can get controller and observer from the linear model. The novel OKID is simplified the design tracker for complex system. We do not need complicated est
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Wei, Zhao-Long, and 魏兆隆. "Digital Redesign of the Adaptive Observer-Based Tracker for Nonlinear Time-Varying MIMO Systems against Actuator Failures." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/71810319202760568527.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>93<br>This thesis proposes a state-space adaptive observer-based tracker scheme for nonlinear time-varying systems, which have unanticipated decayed factors in the actuators and inaccessible system states. The concept of the design method is very simple and efficient. The nonlinear system is mixed with chaos in unstable impulsive mode. The corresponding linear model can be obtained by the optimal linearization. It is more challenging for this kind of system. Then, we utilize the advantage of a digital redesign methodology to convert a designed analog controller/ob
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Chang, Hua-Hsiang, and 張華祥. "Adaptive Backstepping Controller Design for a Class of MIMO Nonlinear Non-affine Systems Via Recurrent Neural Networks." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/74556309236195330779.

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碩士<br>元智大學<br>電機工程學系<br>96<br>This thesis proposes two adaptive backstepping controllers for a class of multi- input-multi-output nonlinear uncertain non-affine systems via output recurrent wavelet neural networks (ORWNNs). The proposed ORWNN combines the advantages of wavelet-based neural network (WNN), fuzzy neural network (FNN), and output feedback layer. Before designing the adaptive controllers, we first transform the non-affine system in non-triangular form into strict-feedback-like form. The ORWNNs are used to estimate the unknown functions for developing the adaptive backstepping contr
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Chen, Chien-Ting, and 陳建廷. "Robust Tracking Design Based on Adaptive Fuzzy Control of Fully-Actuated and Under-Actuated MIMO Nonlinear Systems with Time Delayed Uncertainty." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/62360793999119927839.

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碩士<br>大同大學<br>機械工程學系(所)<br>101<br>It is proposed here a robust tracking design based on adaptive fuzzy control technique to control for a class of fully-acutuated and under-actuated multi-input multi-output (MIMO) nonlinear systems with time delayed uncertainty in which each uncertainty is assumed to be bounded by an unknown gain. This technique will overcome modeling inaccuracies, such as drag and friction losses, effect of time delayed uncertainty, as well as parameter uncertainties. The proposed control law is based on indirect adaptive fuzzy control. A fuzzy model is used to approximate th
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Tenenbaum, Adam. "MSE-based Linear Transceiver Designs for Multiuser MIMO Wireless Communications." Thesis, 2011. http://hdl.handle.net/1807/31954.

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This dissertation designs linear transceivers for the multiuser downlink in multiple-input multiple-output (MIMO) systems. The designs rely on an uplink/downlink duality for the mean squared error (MSE) of each individual data stream. We first consider the design of transceivers assuming channel state information (CSI) at the transmitter. We consider minimization of the sum-MSE over all users subject to a sum power constraint on each transmission. Using MSE duality, we solve a computationally simpler convex problem in a virtual uplink. The transformation back to the downlink is simplifi
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Wu, Hui-De, and 吳慧德. "TSK Fuzzy Cerebellar Model Articulation Controller for MIMO Nonlinear system." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/30658641175595232288.

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碩士<br>元智大學<br>電機工程學系<br>104<br>This thesis proposes a Takagi–Suegeno–Kang(TSK) fuzzy cerebellar model articulation controller (FCMAC) control system for multiple-input–multiple-output (MIMO) nonlinear systems. This control system is composed of a TSK fuzzy cerebellar model articulation controller (TFC) and a robust compensator. The TFC is a main controller utilized to approximate an ideal controller and the parameters of TFC are on-line tuned by the derived adaptive laws from the Lyapunov function. The robust controller is designed to suppress the influence of approximate error between the ide
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Lin, Tung-Wei, and 林東緯. "ROBUST OUTPUT TRACKING CONTROL OF A NONLINEAR TWIN ROTOR MIMO SYSTEM." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/23125187138589379036.

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碩士<br>大同大學<br>電機工程學系(所)<br>98<br>In this thesis, a robust adaptive tracking control algorithm for a nonlinear twin rotor multi-input multi-output system (TRMS) with uncertainties is proposed to deal with the problem of output tracking performance. The TRMS can be perceived as a static test rig for an air vehicle with more control challenges. Therefore, a stability analysis in dynamic modeling of nonlinear aerodynamic function is needed. The original nonlinear system dynamics can be transformed into an equivalent system by means of the concept of Lie derivative. Moreover, some adaptive laws
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Wang, Chun-Chieh, and 王俊傑. "Model-Based Fuzzy Gain Scheduled Integral Control for a Nonlinear Twin Rotor MIMO System." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/75461364490827125645.

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碩士<br>國立雲林科技大學<br>電機工程技術研究所<br>87<br>In this thesis, we investigate the control problem of an experimental propeller setup which is called a twin rotor MIMO (multi-input multi-output) system. A schematic diagram is shown in Fig. 1. A metal beam is connected to its base by two ball bearings, such that it can move freely in the horizontal and vertical directions. At both ends of the beam, there are two propellers driven by DC-motors. The propellers are positioned perpendicularly to each other such that movement in the vertical plane (along the horizontal axis) and in the horizontal plane (al
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Li, Pin-Syuan, and 李品萱. "ADAPTIVE ROBUST CONTROL DESIGN FOR A MIMO NONLINEAR TWIN ROTOR SYSTEM WITH SLIDING SECTOR." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/47068387393331684979.

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碩士<br>大同大學<br>電機工程學系(所)<br>99<br>This paper utilizes a robust adaptive scheme with sliding sector to a output tracking control problem. First, the original nonlinear system dynamics can be transformed into an equivalent plant via the Lie derivative. Moreover, due to coupling effects, which are regarded as system uncertainties, a robust adaptive tracking control algorithm based on the sliding sector is introduced in this thesis to deal with the output tracking problem of a twin-rotor multi-input multi-output system (TRMS). By applying some adaptive laws are employed to estimate the upper bounds
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Lin, Bo-Jiun, and 林柏鈞. "Nonlinear Compensation for 2 × 2 MIMO 60-GHz SCM-OFDM-RoF System Employing Adaptive Filtering Algorithm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/934uxy.

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碩士<br>國立交通大學<br>照明與能源光電研究所<br>105<br>With the popularity of handheld mobile devices and the rapid development of wireless communication technology, the global mobile network data is increasing. There has been a significant increase in demand for today's multimedia audio and video and interactive multimedia applications and cloud storage. In order to meet the multimedia business and cloud storage services, wireless network traffic explosive demand, wireless communication systems must also be developed with more innovative technology. The existing bandwidth has been unable to meet the demand for
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Chiu, You-Yao, and 裘友堯. "Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/28441590188399772838.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>97<br>In this thesis, a novel digital redesign of the observer-based decentralized adaptive tracker for sampled-data nonlinear large-scale system consisting of nonlinear multi-input multi-output subsystems, using evolutionary programming to further improve the tracking performance for ill-condition systems, is proposed. Based on the given sampled-data large scale nonlinear system consisting of nonlinear multi-input multi-output interconnected subsystems, the decentralized two-stage design is proposed to construct a decoupled well-design reference model, so tha
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