• Cover Page
• Editorial Board and Information for Authors
• Aims and Scope
• Contents
Contents
Li J., Li J. and Xia Z.
Delay-dependent generalized H2 control for discrete T–S fuzzy large-scale stochastic systems with mixed delays. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585
Mnasri C. and Gasmi M.
LMI-based adaptive fuzzy integral sliding mode control of mismatched uncertain systems . . . . . .605
Tong S., YangG. and ZhangW.
Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617
Khémiri K., BenHmida F., Ragot J. and GossaM.
Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629
Georges J.-P., Theilliol D., Cocquempot V., Ponsart J.-C. and Aubrun C.
Fault tolerance in networked control systems under intermittent observations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639
Zhang Q., Yang L. and Liao D.
Existence and exponential stability of a periodic solution for fuzzy cellular neural networkswith time-varying delays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649
Szynkiewicz W. and Błaszczyk J.
Optimization-based approach to path planning for closed chain robot systems . . . . . . . .659
Kowalczuk Z. and Czubenko M.
Intelligent decision-making system for autonomous robots . . . . . . . . . . . . . . . . . . . . . . . .671
Mahmoud T.A.
Adaptive control scheme based on the least squares support vector machine network . . . . . . . . . . . . . . . . .685
Kaczorek T.
Positive stable realizations of fractional continuous-time linear systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .697
Barszcz T. and Czop P.
Estimation of feedwater heater parameters based on a grey-box approach . . . . . . . . . . . . . . . . . . .703
Krawiec K., Jaśkowski W. and Szubert M.
Evolving small-board Go players using coevolutionary temporal difference learning with archives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .717
Arangú M. and Salido M.A.
A fine-grained arc-consistency algorithm for non-normalized constraint satisfaction problems. 733
Aswani Kumar Ch.
Knowledge discovery in data using formal concept analysis and random projections. . . . . . . . . . . . . . . 745
Gdawiec K. and Domańska D.
Partitioned iterated function systems with division and a fractal dependence graph in recognition of 2D shapes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .757
Prasath V.B.S.
A well-posed multiscale regularization scheme for digital image denoising . . . . . . . . . . . . . . . . . . . . . . . . . . 769