<![CDATA[ IET Control Theory & Applications - new TOC ]]>
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TOC Alert for Publication# 4079545 2018March 19<![CDATA[Boundary output feedback control of a flexible spacecraft system with input constraint]]>1255715814019<![CDATA[Robust non-linear control design for systems governed by Burgers' equation subjected to parameter variation]]>0. In this work, the boundedness of the error functions is studied and an estimation of these bounds is obtained in terms of the reduced-order model and matrices of the full-order system that are known a priori. Next, the bounds on the error functions are used to design a reduced-order sliding mode controller that guarantees the stability of the full-order model obtained via a finite element approximation of the Burgers' equation for a trajectory tracking problem.]]>1255825922794<![CDATA[Lighting retrofit and maintenance models with decay and adaptive control]]>1255936001875<![CDATA[Auxiliary-function-based double integral inequality approach to stability analysis of load frequency control systems with interval time-varying delay]]>1256016121523<![CDATA[Distributed adaptive consensus protocols for linear multi-agent systems over directed graphs with relative output information]]>1256136201112<![CDATA[Consensus for the fractional-order double-integrator multi-agent systems based on the sliding mode estimator]]>1256216281663<![CDATA[Event-triggered adaptive control for a class of non-linear systems with multiple unknown control directions]]>1256296371966<![CDATA[Comprehensive design of uniform robust exact disturbance observer and fixed-time controller for reusable launch vehicles]]>1256386482254<![CDATA[Interval observer for LPV systems with unknown inputs]]>1256496603347<![CDATA[Observer-based non-PDC controller design for T–S fuzzy systems with the fractional-order <inline-formula><alternatives><tex-math notation="TeX">$; alpha ; colon 0 lt alpha lt 1$</tex-math><mml:math overflow="scroll"><mml:mspace width="thickmathspace" /><mml:mi>α</mml:mi><mml:mspace width="thickmathspace" /><mml:mo>:</mml:mo><mml:mn>0</mml:mn><mml:mo><</mml:mo><mml:mi>α</mml:mi><mml:mo><</mml:mo><mml:mn>1</mml:mn></mml:math><inline-graphic xlink:href="IET-CTA.2017.1045.IM1.gif" /></alternatives></inline-formula>]]>1256616681219<![CDATA[Consensus controllers for general integrator multi-agent systems: analysis, design and application to autonomous surface vessels]]>∞ and H_{2} consensus control problems for multi-agent systems with general dynamics and undirected topology. First, based on the frequency domain description of linear multi-agent systems, a and necessary condition is imposed on each controller to achieve consensus. Second, both H_{∞} and H_{2} optimal are computed analytically according to the corresponding performance indices. The novel controllers not only can reference tracking performance but also has a simple tuning way to trade off the nominal performance and Finally, by application to the formation control of autonomous surface vessels shows the effectiveness of the two control strategies.]]>1256696782242<![CDATA[Fixed-time leader–follower consensus tracking of second-order multi-agent systems with bounded input uncertainties using non-singular terminal sliding mode technique]]>1256796861784<![CDATA[Networked filtering with Markov transmission delays and packet disordering]]>1256876931189<![CDATA[Parameter estimation for systems with structural uncertainties based on quantised inputs and binary-valued output observations]]>1256946991164<![CDATA[Output regulation in the presence of quadratically bounded parameter uncertainties]]>p-copy of the internal model is utilised to augment the plant dynamics. Assuming that the output regulation condition is satisfied for all the parameter uncertainties, it is shown that the problem of robust output regulation is equivalent to the problem of robust output stabilisation. Furthermore, for quadratically bounded parameter uncertainties, an application of the notion of the quadratic stability leads to $mathcal {H}_{infty }$H_{∞}-based robust control, and the maximum allowable uncertainty bound can be computed, below which the robust output regulation can be achieved.]]>125700706986