<![CDATA[ IET Control Theory & Applications - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 4079545 2017December 11<![CDATA[Secure estimation for cyber-physical systems under adversarial actuator attacks]]>1117293929461687<![CDATA[Adaptive tube-based model predictive control for linear systems with parametric uncertainty]]>1117294729531191<![CDATA[<inline-formula><alternatives><tex-math notation="TeX">$H_infty $</tex-math><mml:math overflow="scroll"><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2017.0199.IM1.gif" /></alternatives></inline-formula> control for networked stochastic non-linear systems with randomly occurring sensor saturations, multiple delays and packet dropouts]]>∞ control problem for a class of stochastic non-linear systems where the measurement outputs subject to randomly occurring sensor saturations are transmitted through the network link and will inevitably encounter the random delays and multiple packet dropouts. The network-induced phenomena have the random nature which is governed by Bernoulli distributed stochastic variables. The existence of transmission delays will lead to the packets arriving at the receiver side with one or multiple or none at each sampling instants, which are stored in a finite buffer and are all used to update the observer. By employing stochastic analysis and Lyapunov functional approaches, an observer-based non-linear H_{∞} controller is designed via linear matrix inequality technique. The asymptotic stability with a given disturbance attenuation level is guaranteed by solving the feasibility of certain LMI. A simulation example is exploited to illustrate the usefulness and effectiveness of the proposed method.]]>111729542963976<![CDATA[Backstepping-based boundary feedback control for a fractional reaction diffusion system with mixed or Robin boundary conditions]]>1117296429762856<![CDATA[Event-triggered non-fragile <inline-formula><alternatives><tex-math notation="LaTeX">$H_{infty }$</tex-math><mml:math overflow="scroll"><mml:msub><mml:mi>H</mml:mi><mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2017.0421.IM1.gif" /></alternatives></inline-formula> filtering of linear systems with a structure separated approach]]>∞ filtering of linear systems with an event-triggered transmission. To take into account the influence of these variations thoroughly, a structured vertex separator is adopted to alleviate the computation burden. Combining the Finsler lemma, conditions of designing the non-fragile filter to ensure the required H_{∞} performance are formed by linear matrix inequalities. Compared to the norm-bounded method to handle the variations, the proposed method could provide less conservative results. Simulations are executed to show the validity of the proposed method.]]>1117297729841141<![CDATA[Active target defence differential game: fast defender case]]>1117298529932069<![CDATA[Adaptive neural dynamic surface control of output constrained non-linear systems with unknown control direction]]>1117299430031802<![CDATA[Robust output feedback fault-tolerant control of non-linear multi-agent systems based on wavelet neural networks]]>1117300430151947<![CDATA[Decentralised adaptive control of a class of hidden leader–follower non-linearly parameterised coupled MASs]]>1117301630251229<![CDATA[Identification method of neuro-fuzzy-based Hammerstein model with coloured noise]]>1117302630371660<![CDATA[Accepting performance degradation analysis of switched systems]]>1117303830461781<![CDATA[Decentralised fault-tolerant control of tethered spacecraft formation: an interconnected system approach]]>1117304730552862<![CDATA[Wind turbine control based on a modified model predictive control scheme for linear parameter-varying systems]]>1117305630684228<![CDATA[Time-weighted MR for switched LPV systems via balanced realisation]]>1117306930781621<![CDATA[Sliding mode control for non-linear networked control systems subject to packet disordering via prediction method]]>1117307930882191<![CDATA[Digital control and sampling period assignment of multiple plants in networked control systems]]>1117308930961139<![CDATA[On-line aerodynamic identification of quadrotor and its application to tracking control]]>1117309731062558<![CDATA[Robust output-feedback finite-time regulator of systems with mismatched uncertainties bounded by positive functions]]>n-dimensional integrator, in which only the output signal is measurable and the higher derivatives of the matched and mismatched disturbances are bounded by time-varying functions. Based on a finite-time extended state observer, an output feedback controller is constructed. It is shown that even in the presence of mismatched uncertainties, whose high-order derivatives are bounded by positive functions, the output of the system can be regulated to zero in finite time without requiring the knowledge of full-state signals. An application to mass-spring mechanical systems is given to illustrate the effectiveness and attractive properties of the authors' proposed controller.]]>1117310731142229<![CDATA[Observer-based adaptive fuzzy dynamic surface control of non-linear non-strict feedback system]]>1117311531211612<![CDATA[Backstepping control of sandwich-like non-linear systems with deadzone non-linearity]]>1117312231291731<![CDATA[Petri type 2 fuzzy neural networks approximator for adaptive control of uncertain non-linear systems]]>1117313031361551<![CDATA[I–PD controller for integrating plus time-delay processes]]>1117313731453885<![CDATA[Parameterisation of a special class of saturated controllers and application to mechanical systems]]>1117314631551201<![CDATA[Membership-Function-Dependent Stability Analysis of Interval Type-2 Polynomial Fuzzy-Model-Base Control Systems]]>1117315631701797<![CDATA[High gain observer design for fractional-order non-linear systems with delayed measurements: application to synchronisation of fractional-order chaotic systems]]>1117317131781993<![CDATA[Fault-tolerant formation control of non-linear multi-vehicle systems with application to quadrotors]]>∞ performance for non-linear multi-vehicle systems subject to actuator faults. The authors consider a practical situation: the information transferred between adjacent vehicles is disturbed and each vehicle is interfered by stochastic disturbance and measurement noise. For each vehicle, a decentralised state observer and an adaptive fault estimator are designed based on which a novel cooperative FT control (FTC) protocol is proposed to drive all the vehicles to the desired formation configuration. Taking the system noise into consideration, the error dynamics are modelled by Ito^ stochastic differential equations, whose properties are used for designing and analysing the Lyapunov function in the framework of Ito^ calculus. It is proved that the formation error system is mean-square asymptotically stable with a prescribed attenuation level in an H_{∞} sense by the proposed FTC scheme. The observer, estimator and controller gains can be obtained by solving algebraic Riccati inequalities. Finally, the theoretical results are illustrated by simulations and real experiments.]]>1117317931904791<![CDATA[Control scheme for LTI systems with Lipschitz non-linearity and unknown time-varying input delay]]>1117319131951329<![CDATA[Consensus for non-linear multi-agent systems modelled by PDEs based on spatial boundary communication]]>1117319632001598<![CDATA[Consensus of second-order multi-agents with actuator saturation and asynchronous time-delays]]>1117320132104196<![CDATA[Robust <inline-formula><alternatives><tex-math notation="LaTeX">$H_infty $</tex-math><mml:math overflow="scroll"><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2017.0703.IM1.gif" /></alternatives></inline-formula> control for a class of non-linear discrete time-delay systems with controller failure: a probability-dependent method]]>∞ control for a class of discrete-time delayed non-linear systems in the presence of controller failure by using a probability-dependent method. Considering the stochasticity and inevitability of controller failure, they propose a notion of controller probabilistic failure. Based on the idea of switching, the studied systems are converted into a kind of stochastic switched systems. When the probability information is available, a probability-dependent switching strategy is developed by application of piecewise Lyapunov function and average dwell time approaches such that the system is exponentially mean square stable with weighted H_{∞} performance. At the same time, a probability-dependent weighted H_{∞} switching controller is designed. Moreover, the obtained results are also shown to be feasible when the probability information cannot be known accurately. Finally, two simulation examples are provided to illustrate the effectiveness of the proposed method.]]>1117321132202258