<![CDATA[ Control Theory and Applications, IEE Proceedings - - new TOC ]]>
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TOC Alert for Publication# 2193 2007September03<![CDATA[Development and experimental evaluation of a fixed-gain nonlinear control for a low-cost pneumatic actuator]]>1536629640571<![CDATA[Robust stabilisation and passivity of nonlinear systems with structural uncertainty]]>1536641646211<![CDATA[Adaptive fuzzy CMAC control for a class of nonlinear systems with smooth compensation]]>1536647657360<![CDATA[Guaranteed cost control of linear systems over networks with state and input quantisations]]>1536658664151<![CDATA[Less conservative D-stability test for polytopic systems using linearly parameter-dependent lyapunov functions]]>1536665670123<![CDATA[PI auto-tuning during a single transient]]>0 and of the plant's gain |G_{p}(jomega_{0})|, and (c) an effective choice of the adaptive gain K_{a} for rapid tuning. The challenge is to prime the parameters of both the PI and the adaptive algorithm during an open-loop starting transient, using data obtained before the output attains its set-point, and then to complete the tuning for a short period while under closed-loop control. A relevant parameter is T_{m }, the time for the plant's impulse response to attain its maximum (or equivalently the time for a maximum slope of the step-response s(t)), and a simple estimator of T_{m} is described. One of three generic plant models is adopted according to the relative position of T_{m} within the primary experimental time [T_{1}...T _{2}], and it is shown how initialisation depends on the chosen model. The described approach is shown to be effective for a range of plants]]>1536671683543<![CDATA[Stability analysis for a class of switched large-scale time-delay systems via time-switched method]]>1536684688115<![CDATA[Delay-dependent robust stabilisation of discrete-time systems with time-varying delay]]>1536689702199<![CDATA[Stability analysis and control of non-standard nonlinear singularly perturbed system]]>1536703708172<![CDATA[Robust adaptive deadzone compensation of DC servo system]]>1536709713140<![CDATA[Analogue realisation of fractional-order integrator, differentiator and fractional PI/spl lambda/D/spl mu/ controller]]>m, integrator s ^{-m} (0<m<1) and the fractional PI^{lambda}D ^{mu} controller are studied. A very simple method, useful in system and control theory, which consists of approximating, for a given frequency band, these fractional-order operators by a rational function, is presented. Simple analogue circuits that can serve as analogue fractional-order integrator and fractional-order differentiator are also obtained. A rational function and an analogue circuit realisation of the fractional PI^{lambda}D^{mu} controller are also derived. Illustrative examples are presented to show the usefulness of the method]]>1536714720173<![CDATA[Multirate interacting multiple model particle filter for terrain-based ground target tracking]]>1536721731301<![CDATA[Feedback linearisation of uncertain nonlinear systems with time delay]]>1536732736124<![CDATA[Design of sliding mode control for nonlinear stochastic systems subject to actuator nonlinearity]]>1536737744156<![CDATA[Discrete fuzzy control of time-delay affine takagi-sugeno fuzzy models with H/spl infin/ constraint]]>infin fuzzy control problem for the discrete time-delay affine T-S fuzzy model is now presented. An iterative linear matrix inequality algorithm is used to solve the bilinear matrix inequality problems. Finally, numerical simulation for a time-delayed nonlinear truck-trailer system is given to show an application of the present approach]]>1536745752163