International Journal of Adaptive Control and Signal Processing

Volume 22, Issue 3 pp. 318-321

Literature Survey

Adaptive control and signal processing literature survey (No. 5)

First published: 17 March 2008

https://doi.org/10.1002/acs.1035

Citations: 4

References

• 1. ADAPTIVE SYSTEMS
  Google Scholar
• Butcher M, Karimi A, Longchamp R. A statistical analysis of certain iterative learning control algorithms. International Journal of Control 2008; 81(1): 156–166.
  10.1080/00207170701484851

  Web of Science® Google Scholar
• Chatterjee D, Liberzon D. On stability of randomly switched nonlinear systems. IEEE Transactions on Automatic Control 2007; 52(12): 2390–2394.
  10.1109/TAC.2007.904253

  Web of Science® Google Scholar
• da Cunha A, Cury J. Hierarchical supervisory control based on discrete event systems with flexible marking. IEEE Transactions on Automatic Control 2007; 52(12): 2242–2253.
  10.1109/TAC.2007.910653

  Web of Science® Google Scholar
• Hu Q, Ma G, Xie L. Robust and adaptive variable structure output feedback control of uncertain systems with input nonlinearity. Automatica 2008; 44(2): 552–559.
  10.1016/j.automatica.2007.06.024

  Web of Science® Google Scholar
• Kim T-H, Sugie T. Adaptive receding horizon predictive control for constrained discrete-time linear systems with parameter uncertainties. International Journal of Control 2008; 81(1): 62–73.
  10.1080/00207170701266779

  Web of Science® Google Scholar
• Mizumoto I, Chen T, Ohdaira S, Kumon M, Iwai Z. Adaptive output feedback control of general MIMO systems using multirate sampling and its application to a cart–crane system. Automatica 2007; 43(12): 2077–2085.
  10.1016/j.automatica.2007.04.017

  Web of Science® Google Scholar
• Pronzato L. Optimal experimental design and some related control problems. Automatica 2008; 44(1): 303–325.
  10.1016/j.automatica.2007.05.016

  Web of Science® Google Scholar
• Psillakis H, Alexandridis A. NN-based adaptive tracking control of uncertain nonlinear systems disturbed by unknown covariance noise. IEEE Transactions on Neural Networks 2007; 18(6): 1830–1835.
  10.1109/TNN.2007.901274

  Web of Science® Google Scholar
• van Helvoort J, de Jager B, Steinbuch M. Direct data-driven recursive controller unfalsification with analytic update. Automatica 2007; 43(12): 2034–2046.
  10.1016/j.automatica.2007.04.026

  Web of Science® Google Scholar
• Willink T. Efficient adaptive SVD algorithm for MIMO applications. IEEE Transactions on Neural Networks 2007; 18(6): 615–622.
  Google Scholar
• Xu L, Yao B. Adaptive robust control of mechanical systems with non-linear dynamic friction compensation. International Journal of Control 2008; 81(2): 167–176.
  10.1080/00207170701390132

  Web of Science® Google Scholar
• Yoo S, Park J, Choi Y. Adaptive dynamic surface control for stabilization of parametric strict-feedback nonlinear systems with unknown time delays. IEEE Transactions on Automatic Control 2007; 52(12): 2360–2365.
  10.1109/TAC.2007.910715

  Web of Science® Google Scholar
• 2. SIGNAL PROCESSING
  Google Scholar
• Akkaya A, Tiku M. Robust estimation in multiple linear regression model with non-Gaussian noise. Automatica 2008; 44(2): 407–417.
  10.1016/j.automatica.2007.06.029

  Web of Science® Google Scholar
• Angelova D, Mihaylova L. Extended object tracking using Monte Carlo methods. IEEE Transactions on Signal Processing 2008; 56(2): 825–832.
  10.1109/TSP.2007.907851

  Web of Science® Google Scholar
• Balakumar B, Shahbazpanahi S, Kirubarajan T. Joint MIMO channel tracking and symbol decoding using Kalman filtering. IEEE Transactions on Signal Processing 2007; 55(12): 5873–5879.
  10.1109/TSP.2007.901663

  Web of Science® Google Scholar
• Bay S, Herzet C, Brossier J-M, Barbot J-P, Geller B. Analytic and asymptotic analysis of Bayesian Cramer–Rao bound for dynamical phase offset estimation. IEEE Transactions on Signal Processing 2008; 56(1): 61–70.
  10.1109/TSP.2007.906760

  Web of Science® Google Scholar
• Bidon S, Besson O, Tourneret J-Y. A Bayesian approach to adaptive detection in nonhomogeneous environments. IEEE Transactions on Signal Processing 2008; 56(1): 205–217.
  10.1109/TSP.2007.901664

  Web of Science® Google Scholar
• Carevic D. Multitarget detection and estimation based on passive multilateral TDOAs of transient signals. IEEE Transactions on Signal Processing 2008; 56(1): 418–424.
  10.1109/TSP.2007.906733

  Web of Science® Google Scholar
• Chandrasekar J, Bernstein D, Barrero O, De Moor B. Kalman filtering with constrained output injection. International Journal of Control 2007; 80(12): 1863–1879.
  10.1080/00207170701373633

  Web of Science® Google Scholar
• Dewasurendra D, Bauer P, Premaratne K. Evidence filtering. IEEE Transactions on Signal Processing 2007; 55(12): 5796–5805.
  10.1109/TSP.2007.900759

  Web of Science® Google Scholar
• Dezhong P, Zhang Y. Dynamics of generalized PCA and MCA learning algorithms. IEEE Transactions on Neural Networks 2007; 18(6): 1777–1784.
  10.1109/TNN.2007.895821

  Web of Science® Google Scholar
• Farrell JM, Psaromiligkos IN, Batalama SN. Design and analysis of supervised and decision-directed estimators of the MMSE/LCMV filter in data limited environments. IEEE Transactions on Signal Processing 2008; 56(2): 437–446.
  10.1109/TSP.2007.906764

  Web of Science® Google Scholar
• Germani A, Manes C, Palumbo P. Filtering of stochastic nonlinear differential systems via a Carleman approximation approach. IEEE Transactions on Automatic Control 2007; 52(11): 2166–2172.
  10.1109/TAC.2007.908347

  Web of Science® Google Scholar
• Hong X, Chen S, Harris C. A forward-constrained regression algorithm for sparse kernel density estimation. IEEE Transactions on Neural Networks 2008; 19(1): 193–198.
  10.1109/TNN.2007.908645

  PubMed Web of Science® Google Scholar
• Gao H, Chen T. H_∞ estimation for uncertain systems with limited communication capacity. IEEE Transactions on Automatic Control 2007; 52(11): 2070–2084.
  10.1109/TAC.2007.908316

  Web of Science® Google Scholar
• Katenka N, Levina E, Michailidis G. Local vote decision fusion for target detection in wireless sensor networks. IEEE Transactions on Signal Processing 2008; 56(1): 329–338.
  10.1109/TSP.2007.900165

  Web of Science® Google Scholar
• Kleinsteuber M, Seghouane A-K. On the deterministic CRB for DOA estimation in unknown noise fields using sparse sensor arrays. IEEE Transactions on Signal Processing 2008; 56(2): 860–864.
  10.1109/TSP.2007.907832

  Web of Science® Google Scholar
• Kozat S, Singer A. Universal switching linear least squares prediction. IEEE Transactions on Signal Processing 2008; 56(1): 189–204.
  10.1109/TSP.2007.901161

  Web of Science® Google Scholar
• Shi K, Zhou G, Viberg M. Compensation for nonlinearity in a Hammerstein system using the coherence function with application to nonlinear acoustic echo cancellation. IEEE Transactions on Signal Processing 2007; 55(12): 5853–5858.
  10.1109/TSP.2007.901657

  Web of Science® Google Scholar
• Le Caillec J-M. Time series modeling by a second-order Hammerstein system. IEEE Transactions on Signal Processing 2008; 56(1): 96–110.
  10.1109/TSP.2007.906765

  Web of Science® Google Scholar
• Liu W, Pokharel P, Principe JC. The kernel least-mean-square algorithm. IEEE Transactions on Signal Processing 2008; 56(2): 543–554.
  10.1109/TSP.2007.907881

  Web of Science® Google Scholar
• Marano S, Matta V, Willett P. Distributed estimation in large wireless sensor networks via a locally optimum approach. IEEE Transactions on Signal Processing 2008; 56(2): 748–756.
  10.1109/TSP.2007.907874

  Web of Science® Google Scholar
• Mestre X, Lagunas M. Modified subspace algorithms for DoA estimation with large arrays. IEEE Transactions on Signal Processing 2008; 56(2): 598–614.
  10.1109/TSP.2007.907884

  Web of Science® Google Scholar
• Pascal F, Chitour Y, Ovarlez J-P, Forster P, Larzabal P. Covariance structure maximum-likelihood estimates in compound Gaussian noise: existence and algorithm analysis. IEEE Transactions on Signal Processing 2008; 56(1): 34–48.
  10.1109/TSP.2007.901652

  Web of Science® Google Scholar
• Petraglia M, Batalheiro P. Nonuniform subband adaptive filtering with critical sampling. IEEE Transactions on Signal Processing 2008; 56(2): 565–575.
  10.1109/TSP.2007.906739

  Web of Science® Google Scholar
• Picinbono B. Generating singular signals by filtering Bernoulli correlated inputs. IEEE Transactions on Signal Processing 2008; 56(1): 404–408.
  10.1109/TSP.2007.906738

  Web of Science® Google Scholar
• Schizas I, Ribeiro A, Giannakis G. Consensus in ad hoc WSNs with noisy links—part I: distributed estimation of deterministic signals. IEEE Transactions on Signal Processing 2008; 56(1): 350–364.
  10.1109/TSP.2007.906734

  Web of Science® Google Scholar
• Tao Q, Chu D, Wang J. Recursive support vector machines for dimensionality reduction. IEEE Transactions on Neural Networks 2008; 19(1): 189–193.
  10.1109/TNN.2007.908267

  PubMed Web of Science® Google Scholar
• Tao R, Deng B, Zhang W-Q, Wang Y. Sampling and sampling rate conversion of band limited signals in the fractional Fourier transform domain. IEEE Transactions on Signal Processing 2008; 56(1): 158–171.
  10.1109/TSP.2007.901666

  Web of Science® Google Scholar
• Voutsas K, Adamy J. A biologically inspired spiking neural network for sound source lateralization. IEEE Transactions on Neural Networks 2007; 18(6): 1785–1799.
  10.1109/TNN.2007.899623

  PubMed Web of Science® Google Scholar
• Wu X, Lang Z, Billings S. The design of energy transfer filters for energy focus filtering. International Journal of Control 2008; 81(2): 214–226.
  10.1080/00207170701487797

  Web of Science® Google Scholar
• Xia Y, Kamel M. A generalized least absolute deviation method for parameter estimation of autoregressive signals. IEEE Transactions on Neural Networks 2008; 19(1): 107–118.
  10.1109/TNN.2007.902962

  PubMed Web of Science® Google Scholar
• Xiao J-J, Cui S, Luo Z-Q, Goldsmith A. Linear coherent decentralized estimation. IEEE Transactions on Signal Processing 2008; 56(2): 757–770.
  10.1109/TSP.2007.906762

  Web of Science® Google Scholar
• Zhang G, Kline D. Quarterly time-series forecasting with neural networks. IEEE Transactions on Neural Networks 2007; 18(6): 1800–1814.
  10.1109/TNN.2007.896859

  Web of Science® Google Scholar
• Zoubir A, Wang Y, Chargé P. Efficient subspace-based estimator for localization of multiple incoherently distributed sources. IEEE Transactions on Signal Processing 2008; 56(2): 532–542.
  10.1109/TSP.2007.907877

  Web of Science® Google Scholar
• 3. SYSTEM IDENTIFICATION
  Google Scholar
• Agüero J, Goodwin G. Identifiability of errors in variables dynamic systems. Automatica 2008; 44(1): 371–382.
  10.1016/j.automatica.2007.06.011

  Web of Science® Google Scholar
• Alessandri A, Baglietto M, Battistelli G. Luenberger observers for switching discrete-time linear systems. International Journal of Control 2007; 80(12): 1931–1943.
  10.1080/00207170701481683

  Web of Science® Google Scholar
• Alhoniemi E, Honkela A, Lagus K, Seppa S, Wagner P, Valpola H. Compact modeling of data using independent variable group analysis. IEEE Transactions on Neural Networks 2007; 18(6): 1762–1776.
  10.1109/TNN.2007.900809

  Web of Science® Google Scholar
• Bai E, Chan K. Identification of an additive nonlinear system and its applications in generalized Hammerstein models. Automatica 2008; 44(2): 430–436.
  10.1016/j.automatica.2007.05.023

  Web of Science® Google Scholar
• Bravo J, Alamo T, Redondo M, Camacho E. An algorithm for bounded-error identification of nonlinear systems based on DC functions. Automatica 2008; 44(2): 437–444.
  10.1016/j.automatica.2007.05.026

  Web of Science® Google Scholar
• Chen T, Morris J, Martin E. Dynamic data rectification using particle filters. Computers and Chemical Engineering 2008; 32(3): 451–462.
  10.1016/j.compchemeng.2007.03.012

  CAS Web of Science® Google Scholar
• Gomez O, Orlov Y, Kolmanovsky I. On-line identification of SISO linear time-invariant delay systems from output measurements. Automatica 2007; 43(12): 2060–2069.
  10.1016/j.automatica.2007.03.018

  Web of Science® Google Scholar
• Goulermas J, Liatsis P, Xiao-Jun Zeng, Cook P. Density-driven generalized regression neural networks (DD-GRNN) for function approximation. IEEE Transactions on Neural Networks 2007; 18(6): 1683–1696.
  10.1109/TNN.2007.902730

  PubMed Web of Science® Google Scholar
• Kameyama K, Ohsumi A. Subspace-based prediction of linear time-varying stochastic systems. Automatica 2007; 43(12): 2009–2021.
  10.1016/j.automatica.2007.03.029

  Web of Science® Google Scholar
• Lind I, Ljung L. Regressor and structure selection in NARX models using a structured ANOVA approach. Automatica 2008; 44(1): 383–395.
  10.1016/j.automatica.2007.06.010

  Web of Science® Google Scholar
• Niedźwiecki M. On the lower smoothing bound in identification of time-varying systems. Automatica 2008; 44(2): 459–464.
  10.1016/j.automatica.2007.05.020

  Web of Science® Google Scholar
• Rollins D, Larson G. Estimating a minimum set of physically based dynamic parameters to enhance statistical inference in block-oriented modeling. Computers and Chemical Engineering 2008; 32(3): 494–502.
  10.1016/j.compchemeng.2007.03.010

  CAS Web of Science® Google Scholar
• Śliwiński P, Hasiewicz Z. Computational algorithms for wavelet identification of nonlinearities in Hammerstein systems with random inputs. IEEE Transactions on Signal Processing 2008; 56(2): 846–851.
  10.1109/TSP.2007.907810

  Web of Science® Google Scholar
• Suleiman W, Monin A. New method for identifying finite degree Volterra series. Automatica 2008; 44(2): 488–497.
  10.1016/j.automatica.2007.06.007

  Web of Science® Google Scholar
• Yang E, Maguire T, Yarmush M, Berthiaume F, Androulakis I. Identification of regulatory mechanisms of the hepatic response to thermal injury. Computers and Chemical Engineering 2008; 32(1–2): 356–369.
  10.1016/j.compchemeng.2007.02.009

  CAS Web of Science® Google Scholar
• 4. INTELLIGENT SYSTEMS
  Google Scholar
• Chen Z, Jagannathan S. Generalized Hamilton–Jacobi–Bellman formulation-based neural network control of affine nonlinear discrete-time systems. IEEE Transactions on Neural Networks 2008; 19(1): 90–106.
  10.1109/TNN.2007.900227

  CAS PubMed Web of Science® Google Scholar
• Hayakawa T, Haddad W, Hovakimyan N. Neural network adaptive control for a class of nonlinear uncertain dynamical systems with asymptotic stability guarantees. IEEE Transactions on Neural Networks 2008; 19(1): 80–89.
  10.1109/TNN.2007.902704

  PubMed Web of Science® Google Scholar
• Lv JC, Zhang Y, Tan KK. Global convergence of GHA learning algorithm with nonzero-approaching adaptive learning rates. IEEE Transactions on Neural Networks 2007; 18(6): 1557–1571.
  10.1109/TNN.2007.895824

  Web of Science® Google Scholar
• Padhi R, Unnikrishnan N, Balakrishnan S. Model-following neuro-adaptive control design for non-square, non-affine nonlinear systems. IET Control and Applications 2007; 1(6): 1650–1661.
  10.1049/iet-cta:20060364

  Web of Science® Google Scholar
• Perlovsky L, Deming R. Neural networks for improved tracking. IEEE Transactions on Neural Networks 2007; 18(6): 1854–1857.
  10.1109/TNN.2007.903143

  Web of Science® Google Scholar
• Sloin A, Burshtein D. Support vector machine training for improved hidden Markov modeling. IEEE Transactions on Signal Processing 2008; 56(1): 172–188.
  10.1109/TSP.2007.906741

  Web of Science® Google Scholar
• Cheng T, Lewis F, Abu-Khalaf M. Fixed-final-time-constrained optimal control of nonlinear systems using neural network HJB approach. IEEE Transactions on Neural Networks 2007; 18(6): 1725–1737.
  10.1109/TNN.2007.905848

  Web of Science® Google Scholar
• Shen Y, Wang J. Noise-induced stabilization of the recurrent neural networks with mixed time-varying delays and Markovian-switching parameters. IEEE Transactions on Neural Networks 2007; 18(6): 1857–1862.
  10.1109/TNN.2007.903159

  Web of Science® Google Scholar
• Xia Y, Feng G, Kamel M. Development and analysis of a neural dynamical approach to nonlinear programming problems. IEEE Transactions on Automatic Control 2007; 52(11): 2154–2159.
  10.1109/TAC.2007.908342

  Web of Science® Google Scholar
• Zhao Y, Farrell J. Locally weighted online approximation-based control for nonaffine systems. IEEE Transactions on Neural Networks 2007; 18(6): 1709–1724.
  10.1109/TNN.2007.895908

  Web of Science® Google Scholar
• 5. MONITORING AND FAULT DETECTION
  Google Scholar
• Chen W, Saif M. Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems. IET Control and Applications 2007; 1(6): 1672–1680.
  10.1049/iet-cta:20060408

  Web of Science® Google Scholar
• Doan X-T, Srinivasan R. Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control. Computers and Chemical Engineering 2008; 32(1–2): 230–243.
  10.1016/j.compchemeng.2007.05.010

  CAS Web of Science® Google Scholar
• Fong K, Loh A, Tan W. A frequency domain approach for fault detection. International Journal of Control 2008; 81(2): 264–276.
  10.1080/00207170701536122

  Web of Science® Google Scholar
• Kano M, Nakagawa Y. Data-based process monitoring, process control, and quality improvement: recent developments and applications in steel industry. Computers and Chemical Engineering 2008; 32 (1–2): 12–24.
  10.1016/j.compchemeng.2007.07.005

  CAS Web of Science® Google Scholar
• Le Caillec J-M. Hypothesis testing for nonlinearity detection based on an MA model. IEEE Transactions on Signal Processing 2008; 56(2): 816–821.
  10.1109/TSP.2007.907878

  Web of Science® Google Scholar
• Nguang S, Shi P, Ding S. Fault detection for uncertain fuzzy systems: an LMI approach. IEEE Transactions on Fuzzy Systems 2007; 15(6): 1251–1262.
  10.1109/TFUZZ.2007.894983

  Web of Science® Google Scholar
• Niu R, Varshney P. Performance analysis of distributed detection in a random sensor field. IEEE Transactions on Signal Processing 2008; 56(1): 339–349.
  10.1109/TSP.2007.906770

  Web of Science® Google Scholar
• Sung Y, Zhang X, Tong L, Poor H. Sensor configuration and activation for field detection in large sensor arrays. IEEE Transactions on Signal Processing 2008; 56(2): 447–463.
  10.1109/TSP.2007.907859

  Web of Science® Google Scholar
• Wang Y, Ye H, Wang G. Fault detection of NCS based on eigen decomposition, adaptive evaluation and adaptive threshold. International Journal of Control 2007; 80(12): 1903–1911.
  10.1080/00207170701474167

  Web of Science® Google Scholar
• 6. FAULT TOLERANT AND SAFETY CRITICAL CONTROL
  Google Scholar
• Aberkane S, Sauter D, Ponsart J. Output feedback robust control of uncertain active fault tolerant control systems via convex analysis. International Journal of Control 2008; 81(2): 252–263.
  10.1080/00207170701535959

  Web of Science® Google Scholar
• Demetriou M, Ito K, Smith R. Adaptive monitoring and accommodation of nonlinear actuator faults in positive real infinite dimensional systems. IEEE Transactions on Automatic Control 2007; 52(12): 2332–2338.
  10.1109/TAC.2007.910694

  Web of Science® Google Scholar
• Gao Z, Ding S. State and disturbance estimator for time-delay systems with application to fault estimation and signal compensation. IEEE Transactions on Signal Processing 2007; 55(12): 5541–5551.
  10.1109/TSP.2007.900154

  Web of Science® Google Scholar
• 7. APPLICATIONS OF ADAPTIVE AND INTELLIGENT CONTROL
  Google Scholar
• Aguiar P, Hespanha J, Pascoal A. Switched seesaw control for the stabilization of underactuated vehicles. Automatica 2007; 43(12): 1997–2008.
  10.1016/j.automatica.2007.03.023

  Web of Science® Google Scholar
• Chiu C-S, Lian K-Y, Hung C-Y, Liu P. Adaptive speed control for induction motors based on a semi-current-fed model. International Journal of Control 2008; 81(2): 307–316.
  10.1080/00207170701541783

  Web of Science® Google Scholar
• Karer G, Mušič G, Škrjanc I, Zupancic B. Hybrid fuzzy model-based predictive control of temperature in a batch reactor. Computers and Chemical Engineering 2007; 31(12): 1552–1564.
  10.1016/j.compchemeng.2007.01.003

  CAS Web of Science® Google Scholar
• Pisu P, Serrani A. Attitude tracking with adaptive rejection of rate gyro disturbances. IEEE Transactions on Automatic Control 2007; 52(12): 2374–2379.
  10.1109/TAC.2007.910726

  Web of Science® Google Scholar
• Murphey T. On multiple model control for multiple contact systems. Automatica 2008; 44(2): 451–458.
  10.1016/j.automatica.2007.05.018

  Web of Science® Google Scholar
• Traore D, Leon J, Glumineau A, Loron L. Speed sensorless field-oriented control of induction motor with interconnected observers: experimental tests on low frequencies benchmark. IET Control and Applications 2007; 1(6): 1681–1692.
  10.1049/iet-cta:20060453

  Web of Science® Google Scholar
• Wai R, Lee J-D. Adaptive fuzzy-neural-network control for Maglev transportation system. IEEE Transactions on Neural Networks 2008; 19(1): 54–70.
  10.1109/TNN.2007.900814

  PubMed Web of Science® Google Scholar
• Jiang W, Kong SG. Block-based neural networks for personalized ECG signal classification. IEEE Transactions on Neural Networks 2007; 18(6): 1750–1761.
  10.1109/TNN.2007.900239

  PubMed Web of Science® Google Scholar

Citing Literature

Volume22, Issue3

April 2008

Pages 318-321

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