https://www.patsnap.com/resources/blog/rd-blog/pid-and-advanced-process-control-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Industrial Automation
PID and Advanced Process Control Patents: Who Holds the Claims
  • Filing has flattened, not grown. the midpoint year (2022, 29 filings) sits well below the 2025 peak of 62, and growth between the early and late years is essentially flat once the partial 2026 count is excluded.
  • Legacy MPC patents still anchor the field. the five most-cited records are all model-predictive-control and self-tuning patents from the 1990s-2010s, meaning current filings are building on top of citation clusters that are two to three decades old.
  • China and the US lead filing offices almost evenly. 256 China filings versus 245 US filings, with Europe, Japan and India each running a distinct second tier — a genuinely multi-jurisdictional field rather than a single home market.
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1,116
Published Records
24%
Top-5 Share of All Records
-22%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (50 records) with 2024 (39) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 1,116 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape tracks patent families combining PID controller, process control and model predictive control language with tuning-specific claim terms — tuning method, overshoot, anti-windup, loop oscillation, setpoint tracking — inside the core control-systems IPC classes G05B11, G05B13 and G05B19. It captures both classical control engineering and the newer wave of AI-assisted tuning layered on top of it.

Coverage runs from 2015-01-01 through the 2026-07-31 data cut-off. Because publication typically lags filing by around eighteen months, the 2026 count and the tail end of 2025 understate actual filing activity; treat the most recent one to two years as a floor, not a ceiling.

Filing volume by year, 2017-2026
  1. 1FISHER ROSEMOUNT SYST INC82
  2. 2KK TOSHIBA76
  3. 3HONEYWELL INTERNATIONAL INC53
  4. 4FISHER CONTROLS INT LLC32
  5. 5THE FOXBORO CO30
  6. 6XIAN FEISIDA AUTOMATION ENG29
  7. 7HITACHI LTD25
  8. 8OMRON CORP24
  9. 9EMERSON PROCESS MANAGEMENT POWER & WATER SOLUTIONS INC20
  10. 10OLIN CORP19
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing trend and technology composition

1,116 patent families sit inside the search scope, spread across a control-systems core and a set of adjacent electrical and chemical-process classes.

A flat-to-declining growth curve with one recent spike

Filings rose from 7 in 2017 to a midpoint of 29 in 2022, then to a peak of 62 in 2025 — but the path between those points is not a smooth climb, and the 2026 figure (partial) sits below the 2025 peak, consistent with a maturing rather than an accelerating field.

A flat-to-declining growth curve with one recent spike020406080720172018201920202021202220232024622025182026Most recent year is partial — publication lag means later filings are not yet visible.

G05B dominates; G05D, G06F and G06N form the AI-assisted tail

Nearly every record (1,115 of 1,116) carries a G05B control-and-regulating classification, confirming the search is well-targeted. The next largest groups — G05D (non-electric variable control, 100), G06F (digital data processing, 66) and G06N (AI-model computing, 55) — show a meaningful minority of filings pairing classical control claims with digital or AI-based tuning logic, rather than staying purely mechanical.

G05B dominates; G05D, G06F and G06N form the AI-assisted tailG05B · Control & regulating systems1,11599.9%G05D · Control of non-electric variab…1009.0%G06F · Electric digital data processi…665.9%G06N · Computing based on AI models554.9%H02J · Power supply & grid systems191.7%H02M · Power conversion (AC/DC etc.)181.6%B01J · Chemical/physical processes & …171.5%G01M · Testing machine & structure ba…151.3%Other30527.3%

Shares are the percentage of the 1,116 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The citation anchors of this field

Representative Filing
US20150323912A12015-11-12

Closed loop PI/PID controller tuning method for stable and integrating process with time delay

KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS

A closed-loop setpoint-step tuning method that improves on the Ziegler-Nichols continuous cycling approach: a P-controller with gain Kc0 runs a setpoint experiment, and PI/PID settings are derived directly from three measured quantities — overshoot, time to first peak, and relative steady-state output change — without needing a full process model.Filed by King Fahd University of Petroleum and Minerals, published 2015-11-12.

US20150323912A1 — patent drawing 1US20150323912A1 — patent drawing 2
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Most-cited records in the corpus
#Publication no.Patent titleCitations
1US5519605AModel predictive control apparatus and method389
2US5347446AModel predictive control apparatus379
3US5311421AProcess control method and system for performing control of a controlled system by use of a neural network318
4US5394322ASelf-tuning controller that extracts process model characteristics306
5US20090198350A1Robust adaptive model predictive controller with tuning to compensate for model mismatch290
6US5561599AMethod of incorporating independent feedforward control in a multivariable predictive controller232
7US5396415ANeruo-pid controller198
8US6510352B1Methods and apparatus for object-based process control191
9US8185217B2Robust adaptive model predictive controller with tuning to compensate for model mismatch189
10US4991770AThermostat with means for disabling PID control180

Citation counts favour older filings by construction — a highly cited 1990s patent reflects decades of downstream reference, not current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the data indicates

Three patterns matter for anyone deciding where to file or how to design around existing claims.

Trend
29 → 62
2022 vs. 2025 filings

Growth is bursty, not compounding

The 2025 peak of 62 more than doubles the 2022 midpoint of 29, but the climb from 2017's 7 filings was uneven along the way. That pattern is more consistent with a field responding to specific triggers — new AI-tuning entrants, a standards update — than with sustained organic growth.

Filing trend, 2017-2026
Citations
389 / 379 / 318
top three citation counts

The most-referenced art predates most current filers

All five of the most-cited records are model-predictive-control or self-tuning patents originally filed in the 1990s and 2000s. Any new filing in adaptive or robust MPC is almost certainly being read against this citation cluster during examination.

Most-cited records table
Classification
1,115 / 1,116
records classified G05B

The AI-assisted tail is real but still a minority

G06N (AI-model computing) appears on 55 records and G06F on 66 — together a meaningful but still minority share alongside the 1,115 core G05B filings, indicating machine-learning-based tuning is an established sub-track rather than the dominant claim style.

IPC subclass distribution
Geography
256 vs. 245
China vs. US filings

No single receiving office dominates

China's 256 filings and the US's 245 are close enough that neither office defines the field alone. Europe (140), Japan (106) and India (65) add three further jurisdictions worth checking before assuming freedom to operate in any one market.

Receiving office counts
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to pid and advanced process control, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who holds the claims — and who has gone quiet

The assignee ranking runs across all 1,116 families, but the momentum data tells a sharper story than the ranking alone.

Momentum
-100% YoY
latest-year change

Several long-standing names show zero recent filings

Fisher-Rosemount Systems, Toshiba, Honeywell International, Foxboro and Fisher Controls International all show zero filings in the latest year in this dataset, several with a -100% year-on-year change from a prior baseline. That does not mean these firms have exited process control — it means their claim activity, as captured by this search, has paused.

Recent-year momentum by assignee
Collaboration
9 pairs
co-assignee pairs identified

Co-filing is rare and mostly institutional

Only nine co-assignee pairs appear in the dataset, the strongest linking corporate assignees to named individual inventors or sister entities (e.g., a Hitachi corporate pairing, an Emerson-affiliated pairing). Genuine cross-company joint filing is the exception, not the norm, in this field.

Co-assignee pair analysis
Concentration
1,116 families
total ranked assignees

A long tail behind the recognizable names

The assignee ranking spans the full 1,116-family set, and the presence of a regional engineering firm alongside multinational instrumentation vendors in the momentum list suggests the tail includes smaller, regionally focused filers rather than only global process-control majors.

Assignee ranking, full dataset
🔍
Under-claimed sub-areas worth checking before filing
These branches show thinner claim density relative to the core PID/MPC space and are worth a freedom-to-operate check before assuming they are occupied.
Anti-windup logic for AI-tuned controllersSetpoint tracking under grid-tied power conversion (H02J/H02M overlap)Loop-oscillation diagnostics for catalytic process control (B01J overlap)Model-mismatch compensation in robust adaptive MPCTesting-and-balance instrumentation tied to tuning claims (G01M overlap)
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Fisher-Rosemount Systems, Inc.0-100%
Toshiba Corporation0
Honeywell International Inc.0
Foxboro Company0
Fisher Controls International LLC0
Xi'an Feistda Automation Engineering Co., Ltd.0
Omron Corporation0
Hitachi, Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this next

The dataset points to specific next steps depending on whether you are filing, licensing or designing around existing claims.

Check the under-claimed overlaps first

The H02J/H02M power-conversion overlap and the B01J catalytic-process overlap both show thin filing density relative to the G05B core — worth a targeted search before assuming the space is occupied.

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Map the citation cluster around MPC

The five most-cited records anchor decades of downstream MPC and self-tuning claims; any new adaptive-control filing should be checked against this cluster specifically, not just against recent filings.

Run a citation map in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on PID and Advanced Process Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.