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TOC Alert for Publication# 4079545 2017July 24<![CDATA[On the internal stability of non-linear dynamic inversion: application to flight control]]>1112184918614480<![CDATA[Stochastic model predictive tracking of piecewise constant references for LPV systems]]>1112186218722045<![CDATA[Necessary and sufficient conditions for linear strong structural controllability and observability of <italic>n</italic>-link underactuated planar robot with multiple active intermediate links]]>n-link underactuated planar robot connected to a fixed base by n revolute joints in a vertical plane. The linear strong structural controllability and observability of such a robot around the upright equilibrium point, where all the links are in the upright position, are investigated. This study aims to solve an open problem regarding the linear strong structural controllability and observability of such a robot with only active intermediate links rather than the first or last link. This paper proves that it is linearly strongly structurally controllable and observable (linearly controllable and observable regardless of its mechanical parameters), if and only if there are at least two active adjacent links among the $n-2$n−2 intermediate links with measurable corresponding link angles. Specifically, first, if there are two active adjacent links among the $n-2$n−2 intermediate links with measurable corresponding link angles, without making any other assumptions about any link of the robot, this paper proves that the robot is linearly strongly structurally controllable and observable. Second, when the robot only has two or more active intermediate links with measurable corresponding link angles, if there are no active intermediate adjacent links, this study proves that the robot is linearly strongly structurally uncontrollable and unobservable by presenting a constructive example to show t-
at there always exists a set of mechanical parameters that renders the robot linearly uncontrollable and unobservable.]]>1112187318831594<![CDATA[State-dependent intermittent control of non-linear systems]]>1112188418931785<![CDATA[Actuator fault diagnosis of singular delayed LPV systems with inexact measured parameters via PI unknown input observer]]>$H_\infty $H∞ sense, the effects of input disturbance, output noise and the uncertainty caused by inexact measured parameters. The design procedure of PI-UIO is formulated as a convex optimisation problem with a set of Linear Matrix Inequality (LMI) constraints in the vertices of the parameter domain, guaranteeing robust exponential convergence of the PI-UIO. The efficiency of the proposed method is illustrated with an electrical circuit example modelled as an SDLPV system.]]>1112189419031815<![CDATA[Sampled-data reliable control for T–S fuzzy semi-Markovian jump system and its application to single-link robot arm model]]>1112190419121084<![CDATA[Stabilisation of switched systems with sampled and quantised output feedback]]>1112191319211056<![CDATA[Cooperative control of multi-agent systems with variable number of tracking agents]]>1112192219272142<![CDATA[Cooperative robust containment control for general discrete-time multi-agent systems with external disturbance]]>1112192819371472<![CDATA[Towards an improved gain scheduling predictive control strategy for a solar thermal power plant]]>1112193819473309<![CDATA[Command filter-based adaptive fuzzy backstepping control for a class of switched non-linear systems with input quantisation]]>1112194819581936<![CDATA[Output integral sliding mode fault tolerant control scheme for LPV plants by incorporating control allocation]]>1112195919672209<![CDATA[Criteria for robust finite-time stabilisation of linear singular systems with interval time-varying delay]]>1112196819751054<![CDATA[Time-varying control for exponential stabilisation of the Brockett integrator]]>1112197619822406<![CDATA[Analytical solutions to the matrix inequalities in the robust control scheme based on implicit Lyapunov function for spacecraft rendezvous on elliptical orbit]]>1112198319912197<![CDATA[<italic>p</italic>th moment exponential stabilisation of hybrid stochastic differential equations by feedback controls based on discrete-time state observations with a time delay]]>$\tau $τ between two consecutive state observations. Moreover, we can design the discrete-time state feedback control to stabilise the given hybrid stochastic differential equations in the sense of pth moment exponential stability by developing a new theory. In comparison to the results given in the previous literature, this study has two new characteristics: (i) the stability criterion concerns pth moment exponential stability, which is different from the existing works; (ii) discrete-time state observations depend on time delays.]]>1112199220031077<![CDATA[Sufficient conditions for domain stabilisability of uncertain fractional-order systems under static-output feedbacks]]>1112200420112434<![CDATA[Robust <inline-formula><alternatives><tex-math notation="LaTeX">$\mathcal {H}_\infty $</tex-math><mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi mathvariant="script">H</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2017.0165.IM1.gif" /></alternatives></inline-formula> output regulation of uncertain linear fractional transformation systems with application to non-linear Chua's circuit]]>$\mathcal {H}_\infty $H∞ output regulation problem for a class of uncertain systems in a linear fractional transformation form. The problem is addressed under a measurement output-feedback framework, i.e. no full information of both plant and exosystem states is assumed for feedback control use. A new robust control law with a novel output regulator structure is proposed, based on which sufficient conditions for robust output regulability and $\mathcal {L}_2$L2 stability are established in terms of linear matrix equations plus a set of linear matrix inequalities. As a result, the optimal $\mathcal {H}_\infty $H∞ output regulation control solution can be synthesised effectively via convex optimisation. Finally, the proposed robust output regulation design scheme will be applied to solve the chaos tracking control problem for the non-linear Chua's circuit.]]>1112201220191519<![CDATA[Finite-time exact tracking control for a class of non-linear dynamical systems]]>1112202020271886<![CDATA[Implementation of delayed output feedback for linear systems with multiple input delays]]>1112202820351495