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TOC Alert for Publication# 4079545 2017May 25<![CDATA[Optimal control for networked control systems with disturbances: a delta operator approach]]>$epsilon $ϵ-optimum is proposed to quantify the control performance. The purpose of the addressed problem is to design the optimal control strategy such that the cost function is minimised over the finite-/infinite-horizon under the network-induced constraints. In virtue of the dynamic programming method, sufficient conditions are established to guarantee the existence of the desired control strategies, and the controller parameters are designed. For the obtained optimal control strategy, an upper bound for the $epsilon $ϵ-optimum is provided explicitly, and convex optimisation algorithms are given to compute such upper bound. Both simulation and experimental results are provided to illustrate the usefulness and applicability of the proposed methods.]]>119132513321908<![CDATA[Discrete-time sliding mode control with an input filter for an electro-hydraulic actuator]]>119133313402308<![CDATA[Stability analysis for a class of switched systems under perturbations with applications to consensus]]>119134113501235<![CDATA[Event-triggered control for linear systems with actuator saturation and disturbances]]>119135113591559<![CDATA[Decentralised adaptive robust control schemes of uncertain large-scale time-delay systems with multiple unknown dead-zone inputs]]>119136013701242<![CDATA[Fault-tolerant control of non-linear systems based on adaptive virtual actuator]]>119137113792484<![CDATA[Optimal model distributions in supervisory adaptive control]]>119138013872572<![CDATA[Finite-gain <inline-formula><alternatives><tex-math notation="LaTeX">$mathcal {L_infty }$</tex-math><mml:math overflow="scroll"><mml:mrow><mml:msub><mml:mi mathvariant="script">L</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math><inline-graphic xlink:href="IET-CTA.2016.1373.IM1.gif" /></alternatives></inline-formula> stability from disturbance to output of linear delay systems via impulsive control]]>$mathcal {L_infty }$L∞ stability from disturbance to output are established. It is shown that a linear delay differential system can be finite-gain $mathcal {L_infty }$L∞ stabilised from disturbance to output using impulsive feedback control even there is an unstable matrix. Moreover, delay differential equations also maybe finite-gain $mathcal {L_infty }$L∞ stable from disturbance to output under an appropriate sequence of impulses treated as disturbances. Two examples and simulations are also given to illustrate our results.]]>119138813931449<![CDATA[Distributed observer-based cooperative control for output regulation in multi-agent linear parameter-varying systems]]>119139414031492<![CDATA[Identification of dual-rate sampled systems with time delay subject to load disturbance]]>119140414132456<![CDATA[Improved adaptive backstepping sliding mode control for generator steam valves of non-linear power systems]]>119141414191503<![CDATA[Square-root Kalman-like filters for estimation of stiff continuous-time stochastic systems with ill-conditioned measurements]]>119142014251542<![CDATA[Reinforcement learning control of a single-link flexible robotic manipulator]]>119142614332140<![CDATA[Stability analysis of non-linear time-varying systems by Lyapunov functions with indefinite derivatives]]>119143414421266<![CDATA[Fault tolerance in switched ASMs with intermittent faults]]>119144314492248<![CDATA[Adaptive cooperative formation-containment control for networked Euler–Lagrange systems without using relative velocity information]]>119145014582380<![CDATA[Stabilisation of locally Lipschitz non-linear systems under input saturation and quantisation]]>119145914661189<![CDATA[Smooth controller design for non-linear systems using multiple fixed models]]>119146714731302<![CDATA[Input-delay approach to sampled-data <inline-formula><alternatives><tex-math notation="LaTeX">$mathcal {H}_infty $</tex-math><mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi mathvariant="script">H</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2016.1037.IM1.gif" /></alternatives></inline-formula> control of polynomial systems based on a sum-of-square analysis]]>$mathcal {H}_infty $H∞ stabilisation condition for polynomial sampled-data control systems with respect to an external disturbance. Generally, continuous-time and sampled state variables are mixed in polynomial sampled-data control systems, which is the main drawback to numerically solving the stabilisation conditions of these control systems. To overcome this drawback, this study proposes novel stabilisation conditions that address the mixed-states problem by casting the mixed states as a time-varying uncertainty. The stabilisation conditions are derived from a newly proposed polynomial time-dependent Lyapunov–Krasovskii functional and are represented as a sum-of-squares, which can be solved using existing numerical solvers. Some additional slack variables are further introduced to relax the conservativeness of the authors' proposed approach. Finally, some simulation examples are provided to demonstrate the effectiveness of their approach.]]>119147414842565<![CDATA[Rotor speed, load torque and parameters estimations of a permanent magnet synchronous motor using extended observer forms]]>119148514922424