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- research-articleAugust 2024
A Bayesian transfer sparse identification method for nonlinear ARX systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 10Pages 3484–3502https://doi.org/10.1002/acs.3884SummaryIn this paper, we design a transfer sparse identification algorithm under the Bayesian framework through introducing other system knowledge into the system to be identified. This method provides a new identification solution for a nonlinear ...
- research-articleAugust 2024
A transfer sparse identification method for ARX model
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 10Pages 3456–3472https://doi.org/10.1002/acs.3883AbstractThe aim of this paper is to improve the parameter estimation accuracy of the system to be identified by using measurements from a known system. By introducing the transfer gain matrix and setting the effective identification criterion, a novel ...
- research-articleDecember 2023
Exponentially stable adaptive optimal control of uncertain LTI systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 3Pages 986–1016https://doi.org/10.1002/acs.3738SummaryA novel method of an adaptive linear quadratic (LQ) regulation of uncertain continuous linear time‐invariant systems is proposed. Such an approach is based on the direct self‐tuning regulators design framework and the exponentially stable ...
- research-articleDecember 2023
Solution to delayed linear discrete system with constant coefficients and second‐order differences and application to iterative learning control
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 2Pages 677–695https://doi.org/10.1002/acs.3722SummaryIn this article, we give an alternative representation and prior estimation of solution to delayed linear discrete systems with a second‐order difference with the help of the notation of delayed discrete matrix functions via their norm ...
- research-articleDecember 2023
Basis transform in linear switched system models from input–output data
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 37, Issue 12Pages 3151–3168https://doi.org/10.1002/acs.3677SummaryThis article addresses the problem of basis correction in the context of linear switched‐system (LSS) identification from input–output data. It is often the case that identification algorithms for the LSSs from input–output data operate locally. ...
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- research-articleOctober 2023
Improved sliding mode observer based repetitive control for linear systems with time‐varying input and state delays
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 2Pages 393–414https://doi.org/10.1002/acs.3706SummaryControl systems are frequently subject to the negative effects of time delays and disturbances, which diminish the systems' tracking performance. In response to these challenges, this paper presents a novel approach, that is, the improved sliding ...
- research-articleApril 2022
MIMO system identification using common denominator and numerators with known degrees
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 4Pages 870–881https://doi.org/10.1002/acs.3380SummaryIn system identification, prior knowledge about the model structure may be available. However, imposing this structure on the identified model may be nontrivial. A new discrete‐time linear time‐invariant identification method is presented in the ...
- research-articleMarch 2022
ILMI algorithm for robust stabilization under structured uncertainties
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 3Pages 625–652https://doi.org/10.1002/acs.3361SummaryAn iterative algorithm with linear matrix inequalities (ILMI) is presented, for robust stabilization of linear time‐invariant systems, where the uncertainty is a structured rational matrix belonging to a positive‐real‐like set, determined by scalar ...
- research-articleMarch 2022
Reduced‐order functional observers for descriptor linear time‐invariant systems: a parametric method
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 3Pages 562–578https://doi.org/10.1002/acs.3356SummaryThis article introduces the parametric design method of the reduced‐order functional observer for descriptor linear time‐invariant systems. First, existence conditions of reduced‐order functional observers are provided. Then, based on the solution ...
- research-articleMarch 2022
Preview repetitive control for linear discrete‐time periodic systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 3Pages 412–428https://doi.org/10.1002/acs.3346AbstractA discrete‐time preview repetitive control (PRC) scheme was proposed for linear discrete‐time periodic systems that were subjected to previewable reference signals. First, the state augmentation technique was used to derive an augmented system ...
- research-articleFebruary 2022
A singular perturbation based adaptive strategy for bounded controller design in feedback linearizable systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 2Pages 264–281https://doi.org/10.1002/acs.3360SummaryThe saturation of actuators is a critical issue in numerous industrial and robotic applications. The article presents a singular perturbation based adaptive control technique for solving the tracking problem in uncertain feedback linearizable ...
- research-articleFebruary 2022
Finite excitation based robust adaptive observer for MIMO LTI systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 36, Issue 2Pages 180–197https://doi.org/10.1002/acs.3322SummaryThe article addresses the problem of a robust adaptive observer design for multi‐input multi‐output linear time‐invariant plants subjected to bounded disturbances in the system dynamics and the output relation. An adaptive observer design is ...
- research-articleDecember 2021
Robust CAWOF Kalman predictors for uncertain multi‐sensor generalized system
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 12Pages 2423–2445https://doi.org/10.1002/acs.3330SummaryRobust centralized and weighted observation fusion (CAWOF) prediction algorithm is addressed in this article for an uncertain multi‐sensor generalized system with linear correlation between observation noises and an input white noise. This ...
- research-articleDecember 2021
An adaptive model predictive control strategy for a class of discrete‐time linear systems with parametric uncertainty
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 12Pages 2389–2405https://doi.org/10.1002/acs.3327SummaryIn this study, an adaptive model predictive control (MPC) strategy is proposed for a class of discrete‐time linear systems with parametric uncertainty. In the presented adaptive MPC, an updating law is firstly designed to update the estimated ...
- research-articleNovember 2021
Discrete‐time modified repetitive sliding mode control for uncertain linear systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 11Pages 2245–2258https://doi.org/10.1002/acs.3316SummaryThis article presents a design strategy and stability analysis of modified repetitive sliding mode controller for uncertain linear systems. A modified repetitive controller is adopted to simultaneously track and reject periodic signals. A discrete‐...
- research-articleOctober 2021
On reachable set estimation of nonlinear singular systems with distributed delay
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 10Pages 1958–1969https://doi.org/10.1002/acs.3295SummaryThe estimation of the reachable set for singular systems with distributed delay and nonlinear term under zero initial condition is studied in this article. Based on the Lyapunov functional with triple integrals, a sufficient condition for bounding ...
- research-articleSeptember 2021
Finite‐time asynchronous control of linear time‐varying switched systems
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 9Pages 1824–1841https://doi.org/10.1002/acs.3291SummaryIn the framework of asynchronous control, finite‐time stabilization and finite‐time bounded stabilization of linear time‐varying (LTV) switched systems are investigated. A necessary and sufficient condition for finite‐time stability (FTS) of LTV ...
- research-articleAugust 2021
Distributed Kalman filter for linear system with complex multi‐channel stochastic uncertain parameter and decoupled local filters
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 8Pages 1498–1512https://doi.org/10.1002/acs.3253SummaryThis article considers a distributed Kalman filtering problem for linear system contaminated by complex multi‐channel random uncertain parameter in which a number of nodes cooperative without central coordination to estimate a common state based on ...
- research-articleAugust 2021
Input‐to‐state ℋ∞ learning of recurrent neural networks with delay and disturbance
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 8Pages 1438–1453https://doi.org/10.1002/acs.3251SummaryThis article deals with the issue of input‐to‐state ℋ∞ stabilization for recurrent neural networks with delay and external disturbance. The goal is to design a suitable weight‐learning law to make the considered network input‐to‐state stable with a ...
- research-articleJune 2021
Linear‐like properties arise naturally in the adaptive control setting
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 35, Issue 6Pages 965–990https://doi.org/10.1002/acs.3236SummaryClassical discrete‐time adaptive controllers typically provide asymptotic stabilization and tracking; usually the affect of the noise is at best bounded‐input bounded‐output. Recently we have shown that if you design a discrete‐time adaptive ...