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# IET Control Theory & Applications

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Displaying Results 1 - 25 of 32
• ### Comparative analysis of two non-linear observers for estimation of tyre/road contact in the presence of imperfect measurements

Publication Year: 2010, Page(s):1501 - 1510
Cited by:  Papers (1)
| | PDF (804 KB)

This study presents a comparative study of a sliding-mode observer-based scheme and an adaptive observer-based scheme designed to estimate a road surface condition parameter. The effect of imperfect measurements associated with the wheel angular velocity is explored. A detailed analytical analysis is presented and results are shown from a variety of simulations. Both schemes assume only wheel angu... View full abstract»

• ### Field-programmable gate array-based intelligent dynamic sliding-mode control using recurrent wavelet neural network for linear ultrasonic motor

Publication Year: 2010, Page(s):1511 - 1532
Cited by:  Papers (8)
| | PDF (2721 KB)

A field-programmable gate array (FPGA)-based intelligent dynamic sliding-mode control (IDSMC) using recurrent wavelet neural network (RWNN) estimator is proposed to control the mover position of a linear ultrasonic motor (LUSM) in this study. First, the structure and operating principles of the LUSM are introduced briefly. Then, the dynamics of LUSM mechanism with the introduction of a lumped unce... View full abstract»

• ### Adaptive law with a new leakage term

Publication Year: 2010, Page(s):1533 - 1542
Cited by:  Papers (19)
| | PDF (332 KB)

The hyperstability theory of adaptive control systems is extended to encompass plants with unmodelled dynamics and disturbances. The analysis not only shows that leakage in the adaptive law is a natural way to avoid robustness problems (which is a known result in adaptive control theory), but also provides a new adaptive law that is a sort of signal-dependent σ-modification. The proposed ad... View full abstract»

• ### Neural-network-based simple adaptive control of uncertain multi-input multi-output non-linear systems

Publication Year: 2010, Page(s):1543 - 1557
Cited by:  Papers (3)
| | PDF (614 KB)

An adaptive control scheme based on radial basis function (RBF) neural networks (NNs) has been developed in this study for a class of uncertain multi-input multi-output (MIMO) non-linear systems in block-triangular forms via dynamic surface approach and minimal learning parameters (MLP) algorithm. In the algorithm, the RBF NNs are only used to deal with those unstructured system functions, where... View full abstract»

• ### Stabilisation for a class of non-linear systems with uncertain parameter based on centre manifold

Publication Year: 2010, Page(s):1558 - 1568
Cited by:  Papers (1)
| | PDF (259 KB)

The stabilisation problem of non-linear systems with multi-uncontrollable modes on the imaginary axes is studied. The relation between the centre manifold and the feedback law is given. By choosing the first coordinate function of the centre manifold, a state feedback law to stabilise the dynamics of the centre manifold is acquired. It can stabilise the full order system. This method is applied to... View full abstract»

• ### Cooperative control of underactuated surface vessels

Publication Year: 2010, Page(s):1569 - 1580
Cited by:  Papers (5)
| | PDF (453 KB)

This study considers the cooperative control of a group of underactuated surface vessels using the relative information between neighbour's information such that the group of surface vessels come into a desired geometric pattern whose centroid moves along a desired tajectory. With the aid of results from graph theory and Lyapunov techniques, decentralised cooperative control laws are proposed for ... View full abstract»

• ### Piece-wise linear functions-based model predictive control of large-scale sewage systems

Publication Year: 2010, Page(s):1581 - 1593
Cited by:  Papers (5)
| | PDF (551 KB)

In this study, model predictive control (MPC) of large-scale sewage systems is addressed, considering several inherent continuous/discrete phenomena (overflows in sewers and tanks) and elements (weirs) in the system. This fact results in distinct behaviour depending on the dynamic state (flow/volume) of the network. These behaviours cannot be neglected nor can be modelled by a pure linear represen... View full abstract»

• ### Guaranteed cost decoupling control of bank-to-turn vehicle

Publication Year: 2010, Page(s):1594 - 1604
Cited by:  Papers (2)
| | PDF (607 KB)

This study presents a novel solution to the multi-variable coupling attitude control of a bank-to-turn vehicle. This highly widely demanded control task becomes very challenging on the vehicle's rolling capabilities while the vehicle tracks a moving target. To effectively deal with the relevant issues, this study proposes an integrated procedure to design the state-feedback decoupling controller t... View full abstract»

• ### Global asymptotic tracking of robot manipulators with a simple decentralised non-linear PD-like controller

Publication Year: 2010, Page(s):1605 - 1611
Cited by:  Papers (1)
| | PDF (461 KB)

In this study, the authors address the problem of global asymptotically tracking control of uncertain robot manipulators with a simple decentralised non-linear proportional plus derivative like controller. The proposed controller is formulated with a decentralised structure without reference to modelling information and the control gains are easily determined based on some well-known bounds extrac... View full abstract»

• ### Stabilisability and detectability in networked control

Publication Year: 2010, Page(s):1612 - 1626
Cited by:  Papers (2)
| | PDF (356 KB)

The authors reconsider and advance the analysis of controllability and observability (and the weaker stabilisability and detectability properties) of a class of linear networked control systems (NCSs). The authors model the NCS as a periodic system with limited communication where the non-updated signals can either be held constant (the zero-order-hold case) or reset to zero. Periodicity is dealt ... View full abstract»

• ### Sensors-less neural maximum power point tracking control of induction machines wind generators by growing neural gas and minor component analysis EXIN + reduced order observer

Publication Year: 2010, Page(s):1627 - 1638
Cited by:  Papers (1)
| | PDF (960 KB)

Subject of this work is a maximum power point tracking technique for high-performance wind generator with induction machine based on the growing neural gas (GNG) network and the minor component analysis (MCA) EXIN + neuron. The main idea is to create a fully sensors-less system, meaning a system neither with the wind speed sensors nor the machine speed sensor. The GNG network has been used, traine... View full abstract»

• ### Theory and experiments of global adaptive output feedback tracking control of manipulators

Publication Year: 2010, Page(s):1639 - 1654
| | PDF (725 KB)

A new adaptive controller for robot manipulators is proposed. The new approach uses only position measurements. The main conclusions derived from the closed-loop system analysis are in two main results. In the first one, the global convergence of the position and velocity tracking errors is stated by using a condition that relates the viscous friction damping and the desired joint speed. In the se... View full abstract»

• ### Design of robust adaptive variable structure tracking controllers with application to rigid robot manipulators

Publication Year: 2010, Page(s):1655 - 1664
Cited by:  Papers (4)
| | PDF (364 KB)

Based on the Lyapunov stability theorem, a variable structure control (VSC) scheme with adaptive mechanisms embedded is proposed in this study for a class of perturbed multi-input multi-output (MIMO) non-linear systems to solve robust tracking problems. The dynamic equation of the control system contains a perturbed leading coefficient matrix, which can be either positive definite or negative defi... View full abstract»

• ### Fuzzy constrained predictive control of non-linear systems with packet dropouts

Publication Year: 2010, Page(s):1665 - 1677
Cited by:  Papers (9)
| | PDF (423 KB)

This study investigates the problem of fuzzy predictive control of non-linear systems with imperfect communication links. Packet loss (which appears typically in a network environment) is assumed to happen intermittently between the physical plant and the controller, and stochastic variables satisfying the Bernoulli random binary distribution are utilised to describe the imperfect communication ph... View full abstract»

• ### On the closed-form model for state covariance assignment problem

Publication Year: 2010, Page(s):1678 - 1686
Cited by:  Papers (2)
| | PDF (163 KB)

In this study a closed-form innovative scheme for covariance assignment problems based on the original linear stochastic system is proposed. The closed-form of the state covariance equations is derived by converting the covariance matrix Riccati equation to a new linear deterministic vector state space system. As the main result of this study, according to the Kronecker product operator, the close... View full abstract»

• ### Robust hα control and uniformly bounded control for genetic regulatory network with stochastic disturbance

Publication Year: 2010, Page(s):1687 - 1706
Cited by:  Papers (2)
| | PDF (639 KB)

Robust H∞ control and uniformly bounded control for a genetic regulatory network (GRN) with stochastic disturbance are considered, where the GRN is delayed with SUM regulatory functions. A sufficient condition is derived to ensure the mean-square stability of stochastic GRN. Robust H∞ controller is then designed to stabilise the stochastic GRN in the mean square... View full abstract»

• ### Sensor fault-tolerant vector control of induction motors

Publication Year: 2010, Page(s):1707 - 1724
Cited by:  Papers (13)
| | PDF (747 KB)

The authors propose a multisensor switching strategy for fault-tolerant vector control of induction motors. The proposed strategy combines three current sensors and associated observers that estimate the rotor flux. The estimates provided by the observers are compared at each sampling time by a switching mechanism which selects the sensors-observer pair with the smallest error between the estimate... View full abstract»

• ### Model based on the reinitialised partial moments for initialising output-error identification methods

Publication Year: 2010, Page(s):1725 - 1738
Cited by:  Papers (3)
| | PDF (465 KB)

The present study addresses the initialisation problem of output-error (OE) identification methods. The challenge is to find a suitable initialization, which brings about a convergence towards the global optimum. A common way to initialise OE methods is to use the ARX model, but it must be used cautiously. The purpose of this study is to describe an alternative method based on the reinitialised pa... View full abstract»

• ### Switching-based emergency braking control for an overhead crane system

Publication Year: 2010, Page(s):1739 - 1747
Cited by:  Papers (7)
| | PDF (406 KB)

Emergency braking plays an important role in the safety of overhead crane systems; however, it has received little attention so far. Motivated by this fact, two practical guidelines for the emergency braking control of overhead crane systems are proposed, which are safety and efficiency in brief. Based on the guidelines, a novel two-stage switching control strategy is then presented to improve ope... View full abstract»

• ### Simple disturbance observer for disturbance compensation

Publication Year: 2010, Page(s):1748 - 1755
Cited by:  Papers (6)
| | PDF (839 KB)

Disturbance observer (DOB) without using additional sensors is an attractive method to attenuate the effects of disturbances as they are highly cost effective. This study proposes a simple form of DOBs, which does not need to solve the plant model inverse, and uses H∞ control method to design the Q-filter in the DOB. The conventional form is proved to be a special c... View full abstract»

• ### Model predictive control relevant identification: multiple input multiple output against multiple input single output

Publication Year: 2010, Page(s):1756 - 1766
Cited by:  Papers (7)
| | PDF (350 KB)

Model predictive control (MPC) relevant identification (MRI) can be performed by minimising a cost function containing identification errors from multistep ahead predictions. The multiple MISO (multiple input single output) identification approach is often preferred to the MIMO (multiple input multiple output) identification approach in traditional one-step ahead identification. This study aims at... View full abstract»

• ### Finite-time stability of linear systems: an approach based on polyhedral lyapunov functions

Publication Year: 2010, Page(s):1767 - 1774
Cited by:  Papers (2)
| | PDF (258 KB)

In this study, the authors consider the finite-time stability (FTS) problem for linear systems. Differently from previous studies, the authors assume that the sets to which the state variables must belong in order to satisfy the FTS requirement are boxes (or more in general polytopes) rather than ellipsoids. To deal with these more realistic constraints on the state variables the stability analysi... View full abstract»

• ### Adaptive robust control of uncertain dynamical systems with multiple time-varying delays

Publication Year: 2010, Page(s):1775 - 1784
Cited by:  Papers (1)
| | PDF (259 KB)

The problem of adaptive robust stabilisation is considered for a class of dynamical systems with multiple time-varying delayed state perturbations, time-varying uncertain parameters, and external disturbances. It is assumed that the upper bounds of the delayed state perturbations, uncertainties and external disturbances are unknown, and that the time-varying delays are any non-negative continuous ... View full abstract»

• ### Finite-horizon discrete-time robust guaranteed cost state estimation for non-linear stochastic uncertain systems

Publication Year: 2010, Page(s):1785 - 1794
| | PDF (227 KB)

This study presents a new approach to discrete-time robust non-linear state estimation based on the use of sum quadratic constraints. The approach involves a class of state estimators that include copies on the system non-linearities in the state estimator. The non-linearities being considered are those that satisfy a certain generalised monotonicity condition. The linear part of the state estimat... View full abstract»

• ### Hybrid passivity and finite gain stability theorem: stability and control of systems possessing passivity violations

Publication Year: 2010, Page(s):1795 - 1806
Cited by:  Papers (7)
| | PDF (322 KB)

The stability and control of systems possessing passivity violations is considered. The authors seek to exploit the finite gain characteristics of a plant over a range in which a passive mapping no longer exists while implementing a similar hybrid passive and finite gain controller. Using the dissipative systems framework the authors define a hybrid system: one which possesses a passive map, and f... View full abstract»

## Aims & Scope

IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods.

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